activity
20192026
most citedA Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm

20 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Knowledge-Enhanced Agentic Vulnerability Repair

Sicong Cao, Hao Ma, Le Yu +8

Frontier foundation models have changed the math on vulnerability discovery, but the bigger challenge is how the remediation side keeps up. Despite recent progresses in Automated V…

cs.CR2026

TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense

Cheng Liu, Xiaolei Liu, Xingyu Li +2

Existing jailbreak defense paradigms primarily rely on static detection of prompts, outputs, or internal states, often neglecting the dynamic evolution of risk during decoding. Thi…

cs.CR2025

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation

Xingyu Li, Xiaolei Liu, Cheng Liu +4

As large language models (LLMs) scale, their inference incurs substantial computational resources, exposing them to energy-latency attacks, where crafted prompts induce high energy…

cs.CR2023★ 1 cited

INK: Inheritable Natural Backdoor Attack Against Model Distillation

Xiaolei Liu, Ming Yi, Kangyi Ding +4

Deep learning models are vulnerable to backdoor attacks, where attackers inject malicious behavior through data poisoning and later exploit triggers to manipulate deployed models.…

cs.LG2019★ 20 cited

A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm

Xiaolei Liu, Yuheng Luo, Xiaosong Zhang +1

Neural networks play an increasingly important role in the field of machine learning and are included in many applications in society. Unfortunately, neural networks suffer from ad…