4 papers
ReproMIA: A Comprehensive Analysis of Model Reprogramming for Proactive Membership Inference Attacks
Chihan Huang, Huaijin Wang, Shuai Wang
The pervasive deployment of deep learning models across critical domains has concurrently intensified privacy concerns due to their inherent propensity for data memorization. While…
ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models
Chihan Huang, Hao Tang
Despite the success of deep learning across various domains, it remains vulnerable to adversarial attacks. Although many existing adversarial attack methods achieve high success ra…
CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation
Chihan Huang, Hao Tang
Although autoregressive models have dominated language modeling in recent years, there has been a growing interest in exploring alternative paradigms to the conventional next-token…
DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification
Chihan Huang, Belal Alsinglawi, Islam Al-qudah
Recent advances in deep neural networks (DNNs) have led to remarkable success across a wide range of tasks. However, their susceptibility to adversarial perturbations remains a cri…