6 papers
FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
Zixuan Weng, Jinghuai Zhang, Kunlin Cai +3
Large language models (LLMs) often exhibit undesirable behaviors, such as safety violations and hallucinations. Although inference-time steering offers a cost-effective way to adju…
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…
A Multi-Store Privacy Measurement of Virtual Reality App Ecosystem
Chuan Yan, Zeng Li, Kunlin Cai +4
Virtual Reality (VR) has gained increasing traction among various domains in recent years, with major companies such as Meta, Pico, and Microsoft launching their application stores…
GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation
Rongchao Xu, Kunlin Cai, Lin Jiang +3
Location-Based Social Network (LBSN) check-in trajectory data are important for many practical applications, like POI recommendation, advertising, and pandemic intervention. Howeve…
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…
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…