上一页 1 2 3 4 5 6 ··· 79 下一页
摘要: Abstract 背景:hypervisor(virtual machine monitor, VMM) 保障了不同虚拟机之间的安全隔离(security boundaries) 用户:攻击场景:在云服务上运行自身的VM instances, 提升权限 本文:Nyx 目的:coverage guid 阅读全文
posted @ 2023-10-04 22:57 雪溯 阅读(133) 评论(0) 推荐(0) 编辑
摘要: Title Adaptive restart for stochastic synthesis PLDI 2021 Task Distribute the power between multiple runs in stochastic program synthesis to accelerat 阅读全文
posted @ 2023-09-11 19:19 雪溯 阅读(5) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 背景:Compiling DNN models into high-efficiency executables is not easy: the compilation procedure often involves converting high-level model 阅读全文
posted @ 2023-09-08 23:22 雪溯 阅读(11) 评论(0) 推荐(0) 编辑
摘要: ## Abstract 背景:深度学习编译器处理的深度学习模型与命令式程序有根本的不同,因为深度学习模型中的程序逻辑是隐式的。(the DL models processed by DL compilers differ fundamentally from imperative programs 阅读全文
posted @ 2023-09-08 04:17 雪溯 阅读(13) 评论(0) 推荐(0) 编辑
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(5) 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(9) 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(9) 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(22) 评论(0) 推荐(0) 编辑
上一页 1 2 3 4 5 6 ··· 79 下一页