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摘要: ## Abstract 本文:DeepMutation Github: https://github.com/berkuva/mutation-testing-for-DNNs Task: mutation testing framework specialized for DL systems t 阅读全文
posted @ 2023-09-08 04:08 雪溯 阅读(5) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 本文: Task: Testing the classification accuracy of a deep learning framework that includes a CNN Method: 1. classifier built with SVM 2. met 阅读全文
posted @ 2023-09-08 03:49 雪溯 阅读(9) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 本文: Task: Fuzzing Machine Learning Libraries Method: 1. optimized mutation strategies 2. prioritize the seed 3. optimal mutation strategy 阅读全文
posted @ 2023-09-08 03:17 雪溯 阅读(3) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 本文:DeepCover Github: https://github.com/TrustAI/DeepCover Task: propose 4 novel test criteria to test DNNs Method: inspired by MC/DC cover 阅读全文
posted @ 2023-09-08 02:14 雪溯 阅读(8) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 本文:Tensorflow Github: https://github.com/tensorflow/tensorflow Task: Detail on Tensorflow dataflow model 特点: 1. operates at large scale an 阅读全文
posted @ 2023-09-08 02:02 雪溯 阅读(5) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 本文:SparseProp Github: https://github.com/IST-DASLab/sparseprop Task: a back-propagation algo for sparse training data, a fast vectorized i 阅读全文
posted @ 2023-09-07 23:57 雪溯 阅读(7) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 本文: PyTorch Task: detail the implementation and architecture of PyTorch Github: https://github.com/pytorch/pytorch 特点: 1. PyTorch同时关注可用性和速 阅读全文
posted @ 2023-09-07 22:53 雪溯 阅读(18) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 本文: Task: Review on the use of LLMs in software testing Method: 1. analyzes 52 relevant studies ## 1. Intro ![](https://img2023.cnblogs.co 阅读全文
posted @ 2023-09-07 22:43 雪溯 阅读(35) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 背景: 1. 本文研究的不是被恶意植入的后门,而是products of defects in training 2. 攻击模式: injecting some small fixed input pattern(backdoor) to induce misclassifi 阅读全文
posted @ 2023-09-07 18:13 雪溯 阅读(13) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 本文: BTD github: https://github.com/monkbai/DNN-decompiler/ Task: a decompiler for DNN models to output DNN specifications including: opera 阅读全文
posted @ 2023-09-07 17:32 雪溯 阅读(10) 评论(0) 推荐(0) 编辑
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