4 papers · 1 filter
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training
Wenjie Zhou, Bohan Wang, Wei Chen +1
Recent studies \citep{gur2018gradient,song2024does, wen2024understanding} highlight a fundamental dichotomy in deep learning optimization: Although parameter updates along the top…
Speculative Safety-Aware Decoding
Xuekang Wang, Shengyu Zhu, Xueqi Cheng
Despite extensive efforts to align Large Language Models (LLMs) with human values and safety rules, jailbreak attacks that exploit certain vulnerabilities continuously emerge, high…
RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning
Tongrui Su, Qingbin Li, Shengyu Zhu +2
Compared to untargeted attacks, targeted transfer-based attack is still suffering from much lower Attack Success Rates (ASRs), although significant improvements have been achieved…
Soft Label PU Learning
Yong Lei, Puning Zhao, Jintao Deng +1
PU learning refers to the classification problem in which only part of positive samples are labeled. Existing PU learning methods treat unlabeled samples equally. However, in many…