no code implementations • 17 May 2024 • Jiachen Sun, Changsheng Wang, Jiongxiao Wang, Yiwei Zhang, Chaowei Xiao
In this paper, we propose to address patched visual prompt injection, where adversaries exploit adversarial patches to generate target content in VLMs.
1 code implementation • 5 Mar 2024 • Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
UBA estimates the treatment effect on each target user and optimizes the allocation of fake user budgets to maximize the attack performance.
1 code implementation • 9 Sep 2023 • Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
Despite significant research progress in recommender attack and defense, there is a lack of a widely-recognized benchmarking standard in the field, leading to unfair performance comparison and limited credibility of experiments.