1 citations · 2 across the 4 of their papers we have counts for
5 papers
Leveraging Imperfect Restoration for Data Availability Attack
Yi Huang, Jeremy Styborski, Mingzhi Lyu +2
The abundance of online data is at risk of unauthorized usage in training deep learning models. To counter this, various Data Availability Attacks (DAAs) have been devised to make…
Transferable Attack against Face Swapping in an Extended Space
Mingzhi Lyu, Yi Huang, Jun Xie +3
Although deep Face Swapping (FS) models may benefit the entertainment industry, they pose severe threats to privacy and security. Existing protections, including deepfake detection…
When and Where do Data Poisons Attack Textual Inversion?
Jeremy Styborski, Mingzhi Lyu, Jiayou Lu +2
Poisoning attacks pose significant challenges to the robustness of diffusion models (DMs). In this paper, we systematically analyze when and where poisoning attacks textual inversi…
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
Jeremy Styborski, Mingzhi Lyu, Yi Huang +1
Availability poisons exploit supervised learning (SL) algorithms by introducing class-related shortcut features in images such that models trained on poisoned data are useless for…
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation
Mudit Chaudhary, Borislav Dzodzo, Sida Huang +10
Dialog systems enriched with external knowledge can handle user queries that are outside the scope of the supporting databases/APIs. In this paper, we follow the baseline provided…