3 citations · 7 across the 4 of their papers we have counts for
4 papers
Evaluating and Mitigating Linguistic Discrimination in Large Language Models
Guoliang Dong, Haoyu Wang, Jun Sun +1
By training on text in various languages, large language models (LLMs) typically possess multilingual support and demonstrate remarkable capabilities in solving tasks described in…
PTE: Axiomatic Semantics based Compiler Testing
Guoliang Dong, Jun Sun, Richard Schumi +2
The correctness of a compiler affects the correctness of every program written in the language, and thus must be thoroughly evaluated. Existing automatic compiler testing methods h…
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System
Peixin Zhang, Jun Sun, Mingtian Tan +1
In recent years, the security issues of artificial intelligence have become increasingly prominent due to the rapid development of deep learning research and applications. Backdoor…
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
Peixin Zhang, Jingyi Wang, Jun Sun +5
Although deep learning has demonstrated astonishing performance in many applications, there are still concerns about its dependability. One desirable property of deep learning appl…