2023年9月7日
Proj CDeepFuzz Paper Reading: SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks
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
Proj CDeepFuzz Paper Reading: PyTorch: an imperative style, high-performance deep learning library
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
Proj CDeepFuzz Paper Reading: Software Testing with Large Language Model: Survey, Landscape, and Vision
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(40) 评论(0) 推荐(0) 编辑
Proj CDeepFuzz Paper Reading: PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis
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
Proj CDeepFuzz Paper Reading: Decompiling x86 Deep Neural Network Executables
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(11) 评论(0) 推荐(0) 编辑
Proj CDeepFuzz Paper Reading: Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests
摘要： ## Abstract 背景：In fact, some of the latest findings suggest that the existence of adversarial attacks may be an inherent weakness of deep learning mod 阅读全文
posted @ 2023-09-07 08:01 雪溯 阅读(8) 评论(0) 推荐(0) 编辑
Proj CDeepFuzz Paper Reading: NeuRI: Diversifying DNN Generation via Inductive Rule Inference
摘要： ## Abstract 背景：The correctness of DL systems is crucial for trust in DL applications 本文: NeuRI BaseTool: FreeFuzz Github: https://github.com/ise-uiuc/ 阅读全文
posted @ 2023-09-07 06:38 雪溯 阅读(17) 评论(0) 推荐(0) 编辑