2023年9月5日
Proj CDeepFuzz Paper Reading: Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
摘要： ## Abstract 本文： Task: 1. prove invariance-inducing regularizers can increase predictive accuracy for worst-case spatial transformations 2. prove that 阅读全文
posted @ 2023-09-05 23:14 雪溯 阅读(4) 评论(0) 推荐(0) 编辑
Proj CDeepFuzz Paper Reading: Framework for Evaluating Faithfulness of Local Explanations
摘要： ## Abstract 本文: Task: 1. study the faithfulness of an explanation system to the underlying prediction model on consistency and sufficiency 2. introduc 阅读全文
posted @ 2023-09-05 22:00 雪溯 阅读(2) 评论(0) 推荐(0) 编辑
Proj CDeepFuzz Paper Reading: Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities
摘要： ## Abstract 背景：目前对cross-framework conversion中的inconsistencies和security bugs的研究少有 本文：TensorScope Github: https://github.com/tensorscopepro/Tensorscope 阅读全文
posted @ 2023-09-05 05:51 雪溯 阅读(13) 评论(0) 推荐(0) 编辑