collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

Concept Score Relearning: A Unified Cross-Architecture Attack on Concept Erasure

Hong Xi Tae, Jiaming Zhang, Wenwen He +2

Concept erasure aims to suppress undesirable knowledge in text-to-image generative models. However, existing robustness evaluations typically rely on relearning attacks tailored to…

cs.CV2026

Relevance Does Not Imply Applicability: Experience Activation for Personal GUI Agents

Fuyao Zhang, Xuan Wang, Zherui Li +3

Personal Graphical User Interface (GUI) agents rely on interaction history to infer what a user wants from ambiguous instructions and to anticipate recurring routines. Existing app…

cs.CV2026

FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence

Xinyu Yan, Boyang Chen, Jiaming Zhang +12

Artificial Intelligence (AI)-generated images have become increasingly realistic and readily adaptable to real-world claims, creating new challenges for verifying visual evidence.…

cs.CV2025

Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models

Jiaming Zhang, Che Wang, Yang Cao +2

Multi-modal large reasoning models (MLRMs) pose significant privacy risks by inferring precise geographic locations from personal images through hierarchical chain-of-thought reaso…

cs.CV2025

MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models

Xiongtao Sun, Hui Li, Jiaming Zhang +5

Modern Vision-Language Models (VLMs) pose significant individual-level privacy risks by linking fragmented multimodal data to identifiable individuals through hierarchical chain-of…

cs.CV2025

CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs

Jiaming Zhang, Rui Hu, Qing Guo +1

Video Multimodal Large Language Models (V-MLLMs) have shown impressive capabilities in temporal reasoning and cross-modal understanding, yet their vulnerability to adversarial atta…