1 citations · 1 across the 6 of their papers we have counts for
6 papers
Self-Guided Adaptive Safety Alignment: Synthesizing and Internalizing Guidelines in Reasoning Models
Yuhang Wang, Yanxu Zhu, Jiaming Zhang +2
Explicit safety policies can improve reasoning-model safety, but their effective coverage may lag behind evolving jailbreak strategies. We study whether a reasoning model can synth…
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules
Yi Zhang, Dongyuan Lu, Jitao Sang
Machine learning models often make predictions based on biased features such as gender, race, and other social attributes, posing significant fairness risks, especially in societal…
You talk what you read: Understanding News Comment Behavior by Dispositional and Situational Attribution
Yuhang Wang, Yuxiang Zhang, Dongyuan Lu +1
Many news comment mining studies are based on the assumption that comment is explicitly linked to the corresponding news. In this paper, we observed that users' comments are also h…
Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction
Yuhang Wang, Dongyuan Lu, Chao Kong +1
Many works employed prompt tuning methods to automatically optimize prompt queries and extract the factual knowledge stored in Pretrained Language Models. In this paper, we observe…
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System
Jiaming Zhang, Qi Yi, Dongyuan Lu +1
In light of the growing concerns regarding the unauthorized use of facial recognition systems and its implications on individual privacy, the exploration of adversarial perturbatio…
An Experimental Study of Semantic Continuity for Deep Learning Models
Shangxi Wu, Dongyuan Lu, Xian Zhao +2
Deep learning models suffer from the problem of semantic discontinuity: small perturbations in the input space tend to cause semantic-level interference to the model output. We arg…