5 papers
Seirênes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning
Chi Zhang, Haibo Qiu, Qiming Zhang +3
We present Seirênes, a self-play RL framework that transforms contextual interference from a failure mode of LLM reasoning into an internal training signal for co-evolving more res…
Unsupervised Robust Domain Adaptation: Paradigm, Theory and Algorithm
Fuxiang Huang, Xiaowei Fu, Shiyu Ye +5
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a label-rich source domain to an unlabeled target domain by addressing domain shifts. Most UDA approaches empha…
Rectifying Adversarial Sample with Low Entropy Prior for Test-Time Defense
Lina Ma, Xiaowei Fu, Fuxiang Huang +2
Existing defense methods fail to defend against unknown attacks and thus raise generalization issue of adversarial robustness. To remedy this problem, we attempt to delve into some…
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
Lei Zhang, Yuhang Zhou, Yi Yang +1
Despite providing high-performance solutions for computer vision tasks, the deep neural network (DNN) model has been proved to be extremely vulnerable to adversarial attacks. Curre…
An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification
Lei Zhang, Xiaowei Fu, Fuxiang Huang +2
Person re-identification (ReID) has made great strides thanks to the data-driven deep learning techniques. However, the existing benchmark datasets lack diversity, and models train…