activity
20202026
most citedBadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

16 citations · 50 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.CR2025

PromptLocate: Localizing Prompt Injection Attacks

Yuqi Jia, Yupei Liu, Zedian Shao +2

Prompt injection attacks deceive a large language model into completing an attacker-specified task instead of its intended task by contaminating its input data with an injected pro…

cs.CR2025

PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features

Wei Zou, Yupei Liu, Yanting Wang +3

LLM-integrated applications are vulnerable to prompt injection attacks, where an attacker contaminates the input to inject malicious instructions, causing the LLM to follow the att…

cs.CR2025

SecInfer: Preventing Prompt Injection via Inference-time Scaling

Yupei Liu, Yanting Wang, Yuqi Jia +2

Prompt injection attacks pose a pervasive threat to the security of Large Language Models (LLMs). State-of-the-art prevention-based defenses typically rely on fine-tuning an LLM to…

cs.CR2025★ 1 cited

A Critical Evaluation of Defenses against Prompt Injection Attacks

Yuqi Jia, Zedian Shao, Yupei Liu +3

Large Language Models (LLMs) are vulnerable to prompt injection attacks, and several defenses have recently been proposed, often claiming to mitigate these attacks successfully. Ho…

cs.CR2025

DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks

Yupei Liu, Yuqi Jia, Jinyuan Jia +2

LLM-integrated applications and agents are vulnerable to prompt injection attacks, where an attacker injects prompts into their inputs to induce attacker-desired outputs. A detecti…

cs.CV2025

SecureGaze: Defending Gaze Estimation Against Backdoor Attacks

Lingyu Du, Yupei Liu, Jinyuan Jia +1

Gaze estimation models are widely used in applications such as driver attention monitoring and human-computer interaction. While many methods for gaze estimation exist, they rely h…

cs.CR2025

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning

Yupei Liu, Yanting Wang, Jinyuan Jia

An image encoder pre-trained by self-supervised learning can be used as a general-purpose feature extractor to build downstream classifiers for various downstream tasks. However, m…