2011年10月19~21日に開催された「INSIGHT OUT 2011」のセッション「PostgreSQLアーキテクチャ入門」の講演資料です。
「INSIGHT OUT 2011」の詳細については、以下を参照ください。
http://www.insight-tec.com/insight-out-2011.html
20+ ways to bypass your mac os privacy mechanismsCsaba Fitzl
"TotallyNotAVirus.app" would like to access the camera and spy on you. To protect your privacy, Apple introduced Transparency, Consent, and Control (TCC) framework that restricts access to sensitive personal resources: documents, camera, microphone, emails, and more. Granting such access requires authorization, and the mechanism's main design concern was clear user consent.
In this talk, we will share multiple techniques that allowed us to bypass this prompt, and as a malicious application, get access to protected resources without any additional privileges or user's consent. Together, we submitted over 40 vulnerabilities just to Apple through the past year, which allowed us to bypass some parts or the entire TCC. We also found numerous vulnerabilities in third-party apps (including Firefox, Signal, and others), which allowed us to avoid the OS restrictions by leveraging the targeted apps' privileges.
In the first part of the talk, we will give you an overview of the TCC framework, its building blocks, and how it limits application access to private data. We will explore the various databases it uses and discuss the difference between user consent and user intent.
Next, we will go through various techniques and specific vulnerabilities that we used to bypass TCC. We will cover how we can use techniques like process injection, mounting, application behavior, or simple file searches to find vulnerabilities and gain access to the protected resources.
The audience will leave with a solid understanding of the macOS privacy restrictions framework (TCC) and its weaknesses. We believe there is a need to raise awareness on why OS protections are not 100% effective, and in the end, users have to be careful with installing software on their machines. Moreover - as we're going to publish several exploits - red teams will also benefit from the talk.
2011年10月19~21日に開催された「INSIGHT OUT 2011」のセッション「PostgreSQLアーキテクチャ入門」の講演資料です。
「INSIGHT OUT 2011」の詳細については、以下を参照ください。
http://www.insight-tec.com/insight-out-2011.html
20+ ways to bypass your mac os privacy mechanismsCsaba Fitzl
"TotallyNotAVirus.app" would like to access the camera and spy on you. To protect your privacy, Apple introduced Transparency, Consent, and Control (TCC) framework that restricts access to sensitive personal resources: documents, camera, microphone, emails, and more. Granting such access requires authorization, and the mechanism's main design concern was clear user consent.
In this talk, we will share multiple techniques that allowed us to bypass this prompt, and as a malicious application, get access to protected resources without any additional privileges or user's consent. Together, we submitted over 40 vulnerabilities just to Apple through the past year, which allowed us to bypass some parts or the entire TCC. We also found numerous vulnerabilities in third-party apps (including Firefox, Signal, and others), which allowed us to avoid the OS restrictions by leveraging the targeted apps' privileges.
In the first part of the talk, we will give you an overview of the TCC framework, its building blocks, and how it limits application access to private data. We will explore the various databases it uses and discuss the difference between user consent and user intent.
Next, we will go through various techniques and specific vulnerabilities that we used to bypass TCC. We will cover how we can use techniques like process injection, mounting, application behavior, or simple file searches to find vulnerabilities and gain access to the protected resources.
The audience will leave with a solid understanding of the macOS privacy restrictions framework (TCC) and its weaknesses. We believe there is a need to raise awareness on why OS protections are not 100% effective, and in the end, users have to be careful with installing software on their machines. Moreover - as we're going to publish several exploits - red teams will also benefit from the talk.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.