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20232026
most citedWhere have you been? A Study of Privacy Risk for Point-of-Interest Recommendation

5 citations · 6 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CR2026

Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models

Kunlin Cai, Kaiyuan Zhang, Zihang Xiang +4

Text-to-Speech (TTS) foundation models are increasingly fine-tuned on private datasets to synthesize highly personalized voices, introducing severe privacy risks by exposing both b…

cs.CR2026

ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation

Jinghuai Zhang, Pengyue Yu, Zhexiao Lin +3

Image-based Retrieval-Augmented Generation (IRAG) conditions a frozen generator on reference images retrieved from an external database, supporting both text-to-image (T2I) and que…

cs.CR2026

RogueMerge: Robust and Unified Attacks against LLM Model Merging

Jinghuai Zhang, Yetian He, Kunlin Cai +3

Model merging composes specialized capabilities into a single LLM by aggregating task-specific LLMs sourced from unverified public platforms, exposing a critical supply-chain attac…

cs.CR2025

Breaking the illusion: Automated Reasoning of GDPR Consent Violations

Ying Li, Wenjun Qiu, Faysal Hossain Shezan +5

Recent privacy regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) have established legal requirements for obtaining us…

cs.CR2025

From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR)

Kunlin Cai, Jinghuai Zhang, Ying Li +4

The immersive nature of XR introduces a fundamentally different set of security and privacy (S&P) challenges due to the unprecedented user interactions and data collection that tra…

cs.CR2024

BadMerging: Backdoor Attacks Against Model Merging

Jinghuai Zhang, Jianfeng Chi, Zheng Li +3

Fine-tuning pre-trained models for downstream tasks has led to a proliferation of open-sourced task-specific models. Recently, Model Merging (MM) has emerged as an effective approa…

cs.CR2024★ 1 cited

Remote Keylogging Attacks in Multi-user VR Applications

Zihao Su, Kunlin Cai, Reuben Beeler +6

As Virtual Reality (VR) applications grow in popularity, they have bridged distances and brought users closer together. However, with this growth, there have been increasing concer…