7 papers
Detecting Aimbot Cheaters in MOGs
Salman Shaikh, Tao Ni, Marc Dacier
Multiplayer Online Games have become a multibillion dollar industry in the entertainment sector. However, the presence of cheaters undermines the experience of honest players and d…
Efficient and Adaptable Detection of Malicious LLM Prompts via Bootstrap Aggregation
Shayan Ali Hassan, Tao Ni, Zafar Ayyub Qazi +1
Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language understanding, reasoning, and generation. However, these systems remain susceptible to ma…
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
Shuai Yuan, Xingshuo Han, Hongwei Li +5
Recently, traffic sign recognition (TSR) systems have become a prominent target for physical adversarial attacks. These attacks typically rely on conspicuous stickers and projectio…
FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification
Gwok-Waa Wan, Shengchu Su, Ruihu Wang +15
Despite the transformative potential of Large Language Models (LLMs) in hardware design, a comprehensive evaluation of their capabilities in design verification remains underexplor…
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations
Yihe Zhou, Tao Ni, Wei-Bin Lee +1
Large Language Models (LLMs) have achieved significantly advanced capabilities in understanding and generating human language text, which have gained increasing popularity over rec…
A Contemporary Survey of Large Language Model Assisted Program Analysis
Jiayimei Wang, Tao Ni, Wei-Bin Lee +1
The increasing complexity of software systems has driven significant advancements in program analysis, as traditional methods unable to meet the demands of modern software developm…