5 papers
Training-Data Extraction from Genomic Language Models
Tianhao Mao, Zihao Wang, Dongfang Zhao +3
Genomic language models generate long nucleotide continuations from short prefixes, exposing a direct route for studying training-sequence extraction through the generation interfa…
A Large-Scale Comprehensive Measurement of AI-Generated Code in Real-World Repositories
Tianhao Mao, Dongfang Zhao, Haixu Tang +2
Large language models (LLMs) are rapidly transforming software engineering by enabling developers to generate code ranging from small snippets to entire projects. As AI-assisted co…
IndirectAD: Practical Data Poisoning Attacks against Recommender Systems for Item Promotion
Zihao Wang, Tianhao Mao, XiaoFeng Wang +2
Recommender systems play a central role in digital platforms by providing personalized content. They often use methods such as collaborative filtering and machine learning to accur…
LineBreaker: Finding Token-Inconsistency Bugs with Large Language Models
Hongbo Chen, Yifan Zhang, Xing Han +7
Token-inconsistency bugs (TIBs) involve the misuse of syntactically valid yet incorrect code tokens, such as misused variables and erroneous function invocations, which can often l…
Toward Unbiased Multiple-Target Fuzzing with Path Diversity
Huanyao Rong, Wei You, Xiaofeng Wang +1
In this paper, we propose a novel directed fuzzing solution named AFLRun, which features target path-diversity metric and unbiased energy assignment. Firstly, we develop a new cove…