Probability formula sheet
Set theory, sample space, events, concepts of randomness and uncertainty, basic principles of probability, axioms and properties of probability, conditional probability, independent events, Baye’s formula, Bernoulli trails, sequential experiments, discrete and continuous random variable, distribution and density functions, one and two dimensional random variables, marginal and joint distributions and density functions. Expectations, probability distribution families (binomial, poisson, hyper geometric, geometric distribution, normal, uniform and exponential), mean, variance, standard deviations, moments and moment generating functions, law of large numbers, limits theorems
for more visit http://tricntip.blogspot.com/
Probability formula sheet
Set theory, sample space, events, concepts of randomness and uncertainty, basic principles of probability, axioms and properties of probability, conditional probability, independent events, Baye’s formula, Bernoulli trails, sequential experiments, discrete and continuous random variable, distribution and density functions, one and two dimensional random variables, marginal and joint distributions and density functions. Expectations, probability distribution families (binomial, poisson, hyper geometric, geometric distribution, normal, uniform and exponential), mean, variance, standard deviations, moments and moment generating functions, law of large numbers, limits theorems
for more visit http://tricntip.blogspot.com/
Hassan Aït-Kaci, “Description Logic vs. Order-Sorted Feature Logic”, Proceedings of the 20th Workshop on Description Logics, Brixen-Bressanone, Italy, June 2007. http://hassan-ait-kaci.net/pdf/dl07.pdf
Source-Level Proof Reconstruction for Interactive ProvingLawrence Paulson
Interactive proof assistants should verify the proofs they re- ceive from automatic theorem provers. Normally this proof reconstruc- tion takes place internally, forming part of the integration between the two tools. We have implemented source-level proof reconstruction: reso- lution proofs are automatically translated to Isabelle proof scripts. Users can insert this text into their proof development or (if they wish) exam- ine it manually. Each step of a proof is justified by calling Hurd’s Metis prover, which we have ported to Isabelle. A recurrent issue in this project is the treatment of Isabelle’s axiomatic type classes.
Theorem Proving in Higher Order Logics (Springer LNCS 4732, 2007), 232–245.
A quotient construction defines an abstract type from a concrete type, using an equivalence relation to identify elements of the concrete type that are to be regarded as indistinguishable. The elements of a quotient type are equivalence classes: sets of equivalent concrete values. Simple techniques are presented for defining and reasoning about quotient constructions, based on a general lemma library concerning functions that operate on equivalence classes. The techniques are applied to a definition of the integers from the natural numbers, and then to the definition of a recursive datatype satisfying equational constraints.
Published in ACM Trans. on Computational Logic 7 4 (2006), 658–675.
Organizing Numerical Theories using Axiomatic Type ClassesLawrence Paulson
Published in the J. Automated Reasoning 33 1 (2004), 29–49.
Describes the use of axiomatic type classes in Isabelle eliminate duplication in the presence of many different numeric types, from the natural numbers to the complexes and beyond.
A Generic Tableau Prover and Its Integration with IsabelleLawrence Paulson
Published in the CADE-15 Workshop on Integration of Deductive Systems (1998). Describes the automatic theorem proving technology used in the Isabelle system.
Mechanized Proofs for a Recursive Authentication ProtocolLawrence Paulson
Presented at the 10th Computer Security Foundations Workshop, 1997.
One of the first papers concerning the inductive approach to verifying cryptographic protocols, demonstrated on a variable-length multi-party protocol.
Hassan Aït-Kaci, “Description Logic vs. Order-Sorted Feature Logic”, Proceedings of the 20th Workshop on Description Logics, Brixen-Bressanone, Italy, June 2007. http://hassan-ait-kaci.net/pdf/dl07.pdf
Source-Level Proof Reconstruction for Interactive ProvingLawrence Paulson
Interactive proof assistants should verify the proofs they re- ceive from automatic theorem provers. Normally this proof reconstruc- tion takes place internally, forming part of the integration between the two tools. We have implemented source-level proof reconstruction: reso- lution proofs are automatically translated to Isabelle proof scripts. Users can insert this text into their proof development or (if they wish) exam- ine it manually. Each step of a proof is justified by calling Hurd’s Metis prover, which we have ported to Isabelle. A recurrent issue in this project is the treatment of Isabelle’s axiomatic type classes.
Theorem Proving in Higher Order Logics (Springer LNCS 4732, 2007), 232–245.
A quotient construction defines an abstract type from a concrete type, using an equivalence relation to identify elements of the concrete type that are to be regarded as indistinguishable. The elements of a quotient type are equivalence classes: sets of equivalent concrete values. Simple techniques are presented for defining and reasoning about quotient constructions, based on a general lemma library concerning functions that operate on equivalence classes. The techniques are applied to a definition of the integers from the natural numbers, and then to the definition of a recursive datatype satisfying equational constraints.
Published in ACM Trans. on Computational Logic 7 4 (2006), 658–675.
Organizing Numerical Theories using Axiomatic Type ClassesLawrence Paulson
Published in the J. Automated Reasoning 33 1 (2004), 29–49.
Describes the use of axiomatic type classes in Isabelle eliminate duplication in the presence of many different numeric types, from the natural numbers to the complexes and beyond.
A Generic Tableau Prover and Its Integration with IsabelleLawrence Paulson
Published in the CADE-15 Workshop on Integration of Deductive Systems (1998). Describes the automatic theorem proving technology used in the Isabelle system.
Mechanized Proofs for a Recursive Authentication ProtocolLawrence Paulson
Presented at the 10th Computer Security Foundations Workshop, 1997.
One of the first papers concerning the inductive approach to verifying cryptographic protocols, demonstrated on a variable-length multi-party protocol.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Relative Consistency of the Axiom of Choice — Mechanized Using Isabelle/ZF
1. The Relative Consistency of the
Axiom of Choice
Mechanized Using Isabelle/ZF
Lawrence C. Paulson
Computer Laboratory
2. Why Do Proofs By Machine?
• Too many been done already!
– Gödel’s incompleteness theorem (Shankar)
– thousands of Mizar proofs
• But many types of reasoning are hard to
formalize.
– Algebraic structures (e.g. group theory)
– Proofs involving metamathematics
• And this one concerns Hilbert’s First Problem!
2
3. Outline of Gödel’s Proof
•
•
•
•
Define the constructible universe, L
Show that L satisfies the ZF axioms
Show that L satisfies the axiom V=L
Show that V=L implies AC and GCH
A contradiction from ZF and V=L can be
translated into one from ZF alone.
3
5. L satisfies the ZF axioms
• Union, pairing
– Unions and pairs are definable by formulae
• Powerset, replacement scheme
– Using a rank function for L
• Comprehension scheme (separation)
– By the Reflection Theorem
– Scheme can be proved only in the metatheory
5
6. Show that L satisfies V=L
• V=L means “all sets are constructible”
• The concept of “constructible” is absolute
• Absolute means same in all models
– Most concepts are absolute: unions, ordinals,
functions, bijections, etc.
– Not absolute: powersets, function spaces,
cardinals
6
7. Show that V=L implies AC
(or rather, the well-ordering theorem)
• The set of formulae is countable
• Parameter lists for formulae can be wellordered lexicographically
• So, if X is well-ordered then so is D(X)
• Inductively construct a well-ordering on L
7
8. Satisfaction for Class Models?
For M a set, can define satisfaction recursively:
For M a class, satisfaction cannot be defined!
The nondefinability of truth (Tarski)
8
10. A contradiction using V=L?
• Can prove that (V=L)L is a ZF theorem
• … as is f L provided f is a ZF axiom
• Thus, a contradiction from ZF + (V=L)
amounts to a contradiction in ZF alone
• Developing the argument (Gödel never did)
requires proof theory
10
11. Isabelle/ZF
• Same code base as Isabelle/HOL
• Higher-order metalogic, ideal for
– Theorem schemes
– Classes
– Class functions
• Develops set theory from the ZermeloFraenkel axioms to transfinite cardinals
11
12. Defining the Class L in Isabelle
• Datatype declaration of the set formula
• Primitive recursive functions:
– Satisfaction relation
– Arity of a formula
– De Bruijn renaming
• Definable powersets: Dpow(X)
• Constructible hierarchy: Lset(i)
• The predicate L
12
13. Relativization in Isabelle
• Define a separate predicate for each
concept: 0, », «, function, limit ordinal, …
• Make each predicate relative to a class M
• Absoluteness: prove that the predicate
agrees with the native concept
Outcome: a relational language of sets
13
15. Proving that L is a Model of ZF
• Express ZF axioms using the predicates
• Mechanize proofs from Kunen (1980)
• Separation axiom (comprehension):
– By previous proof of Reflection Theorem
– Meta-$ quantifier to hide giant classes
– Automatic translation from real formulae to
elements of the set formula
– 40 separate instances proved
15
16. Proving that L is a Model of V=L
• Absoluteness of well-founded recursion
• Absoluteness and relativization for …
– Recursive datatypes
– About 100 primitive concepts
– The satisfaction function (detailed breakdown needed)
• The concepts Dpow(X) and Lset(i)
• Define Constructible(M,x)
• Finally prove L(x) fi Constructible(L,x)
16
17. Comparative Sizes of Theories
(in Tokens)
Reflection theorem
3400
Definition of L
4140
ZF holds in L (excluding separation)
5100
V=L holds in L
29700
V=L implies AC
1769
17
18. Doing without Metamathematics
• Can’t reason on the structure of formulae
• Can’t prove separation schematically
• Can’t formalize how a contradiction from V=L
leads to a contradiction in ZF
• But: can use native set theory
– Isabelle/ZF’s built-in set theory libraries
– benefits of a shallow embedding
18
19. Conclusions
•
•
•
•
A mechanized proof of consistency for AC
Big:12000 lines or 49000 tokens
Just escape having to formalize metatheory
Future challenges:
– Repeat, with a formalized metatheory
– Prove generalized continuum hypothesis
– Formalize forcing proofs: independence of AC
19