The document summarizes various techniques for automated software testing using fuzzing, including coverage-based fuzzing (AFL), directed greybox fuzzing (AflGO), and neural network-based approaches (FuzzGuard). It discusses how genetic algorithms and simulated annealing are used in AFL and AflGO respectively to guide test case mutation towards new code areas. It also provides examples of vulnerabilities found using these fuzzing tools.
「C言語のポインタ（型の変数）は、可変長配列を扱うために使う」という点に絞って、５０分間程度の解説をしています。
最終的に下記の１２行のプログラムを４７分間使って解説します。
（７行目、１１行目の”＜”は除いています）
1: int size = N;
2: int x[size];
3: int *p;
4:
5: p = x;
6:
7: for ( int = 0; i size; i++)
8: p[i] = i;
9:
10: int y = 0
11: for ( int i = 0; i size; i++)
12: y = y + p[i];
https://www.youtube.com/watch?v=KLFlk1dohKQ&t=1496s
1. The model is a polynomial regression model that fits a polynomial function to the training data.
2. The loss function used is the sum of squares of the differences between the predicted and actual target values.
3. The optimizer used is GradientDescentOptimizer which minimizes the loss function to fit the model parameters.
31. WEB公開版
Basic architecture of tracker network
① Ask
Node A (newcomer) ask the
tracker for searching the file.
② torrent download
Tracker provides torrent file.
③ join
Node A queries node B.
④ download
Node A can downloads pieces
of file on swarm network
Seeder has a complete file.
Leecher has pieces of file.
