activity
20232026
most citedCopyright Protection and Accountability of Generative AI:Attack, Watermarking and Attribution

49 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Beyond Attack Success Rate: Examining Trigger Leakage in Vision-Language Agentic Systems

Jiamin Chang, Salil Kanhere, Piotr Koniusz +3

Vision-Language Agentic Systems (VLAS) connect visual perception to planning, tool use, and physical actions. This means backdoor-type triggers can propagate through both decision…

cs.CV2026

If you're waiting for a sign... that might not be it! Mitigating Trust Boundary Confusion from Visual Injections on Vision-Language Agentic Systems

Jiamin Chang, Minhui Xue, Ruoxi Sun +3

Recent advances in embodied Vision-Language Agentic Systems (VLAS), powered by large vision-language models (LVLMs), enable AI systems to perceive and reason over real-world scenes…

cs.CR2025

What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift

Jiamin Chang, Haoyang Li, Hammond Pearce +3

The growing adoption of artificial intelligence (AI) has amplified concerns about trustworthiness, including integrity, privacy, robustness, and bias. To assess and attribute these…

cs.CR2024

SoK: The Security-Safety Continuum of Multimodal Foundation Models through Information Flow and Global Game-Theoretic Analysis of Asymmetric Threats

Ruoxi Sun, Jiamin Chang, Hammond Pearce +5

Multimodal foundation models (MFMs) integrate diverse data modalities to support complex and wide-ranging tasks. However, this integration also introduces distinct safety and secur…

cs.CR2023★ 1 cited

A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services

Hongsheng Hu, Shuo Wang, Jiamin Chang +5

The right to be forgotten requires the removal or "unlearning" of a user's data from machine learning models. However, in the context of Machine Learning as a Service (MLaaS), retr…

cs.LG2023★ 49 cited

Copyright Protection and Accountability of Generative AI:Attack, Watermarking and Attribution

Haonan Zhong, Jiamin Chang, Ziyue Yang +4

Generative AI (e.g., Generative Adversarial Networks - GANs) has become increasingly popular in recent years. However, Generative AI introduces significant concerns regarding the p…