模糊测试(fuzz test,fuzzing)是一种软件测试技术。其核心思想仅仅是自动或半自动生成的随机数据输入到...
Abstract 本文:CocoFuzzing Task: test ML Models, test code processing models 方法:10 mutators to automatically generate validly and semantically preserving source code test cases + neuron coverage-based 实验: 对象:NeuralCodeSum, Code2Seq, Code2Vec 效果 证明了能产生validly and semantically preserving ...
Under the hood, Atheris uses libFuzzer to perform its fuzzing. SincelibFuzzeris built on top ofLLVM and Clang, we will need a Clang installation to fuzz our target. To simplify the installation process, I wrote a Dockerfile to package up all the necessary components into a single Docker imag...
D2D - PrimitiveBlend - TestPrimitiveBlendAntialiasedClip D2D - PrimitiveBlend - TestPrimitiveBlendAntialiasedGradientMeshNonOverlap D2D - PrimitiveBlend - TestPrimitiveBlendAntialiasedGradientMeshOverlapped D2D - PrimitiveBlend - TestPrimitiveBlendAntialiasedImage D2D - PrimitiveBlend - TestPrimitiveBlendAntiali...
python3 infra/helper.py introspector test02 it shows me that the function coverage is only 90%. The lines 15-16 are not covered. Although the fuzzing is passing those lines. It can be seen in output console (I can see "last line is reached!") and also in the debug file "tdata....
To run a "fuzz test" against ten long randomly generated inputs: make fuzztest To do a more systematic fuzz test withamerican fuzzy lop: AFL_PATH=/path/to/afl_directory make afl Fuzzing withlibFuzzeris also supported. The fuzzer can be run with: ...
I am able to invoke pngquant by providing the png file located in the same input sample directory I used while fuzzing with AFL. The AFL command I executed is: afl-fuzz -i ./in-filtered -o ./out -x ./dictionary/png.dict -- pngquant @@ The AFL documentation mentions that the odd...
Github:https://github.com/TrustAI/DeepCover Task: propose 4 novel test criteria to test DNNs Method: inspired by MC/DC coverage criteria Sign-Sign Coverage(Main): the sign change of a condition feature ψk,independently affects the sign of the decision feature ψk+1,j of the next layer ...
公司简介: - 云起无垠是新一代智能模糊测试技术领跑者,国内首家Fuzzing全流程赋能开发安全——DevSecOps解决方案供应商,基于智能模糊测试引擎为协议 云起无垠 信息安全天使轮20-99人 项目技术支持7-12K 北京石景山区鲁谷3-5年本科 公司介绍: 北京东方中恒科技发展有限公司是一家基于信息技术的跨学科、多领域专业人才组...
(2)Zhang, P.*, Ren, B., Dong, H., and Dai, Q. CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing for Image-based Deep Learning Systems. IEEE Transactions on Software Engineering, 2022, 48(11): 4630-4646. (3)Zhan...