Showing cs.CRShow all
3 papers · 1 filter
cs.CR2026
Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets
Yuan Xiao, Jiaming Wang, Yuchen Chen +8
The widespread availability of large-scale code datasets has accelerated the development of code large language models (CodeLLMs), raising concerns about unauthorized dataset usage…
cs.CR2023
Fuzzing with Quantitative and Adaptive Hot-Bytes Identification
Tai D. Nguyen, Long H. Pham, Jun Sun
Fuzzing has emerged as a powerful technique for finding security bugs in complicated real-world applications. American fuzzy lop (AFL), a leading fuzzing tool, has demonstrated its…
cs.CR2022
Verifying Neural Networks Against Backdoor Attacks
Long H. Pham, Jun Sun
Neural networks have achieved state-of-the-art performance in solving many problems, including many applications in safety/security-critical systems. Researchers also discovered mu…