activity
20082024
most citedAdversarial Robustness of Deep Code Comment Generation

49 citations · 223 across the 35 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.SE2023★ 1 cited

Assessing and Improving Syntactic Adversarial Robustness of Pre-trained Models for Code Translation

Guang Yang, Yu Zhou, Xiangyu Zhang +3

Context: Pre-trained models (PTMs) have demonstrated significant potential in automatic code translation. However, the vulnerability of these models in translation tasks, particula…

cs.CR2023

SAT-based Formal Fault-Resistance Verification of Cryptographic Circuits

Huiyu Tan, Pengfei Gao, Taolue Chen +2

Fault injection attacks represent a type of active, physical attack against cryptographic circuits. Various countermeasures have been proposed to thwart such attacks, the design an…

cs.CR2023

Automated Verification of Correctness for Masked Arithmetic Programs

Mingyang Liu, Fu Song, Taolue Chen

Masking is a widely-used effective countermeasure against power side-channel attacks for implementing cryptographic algorithms. Surprisingly, few formal verification techniques hav…

cs.SE2023

A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation

Guang Yang, Yu Zhou, Xiang Chen +4

Due to the development of pre-trained language models, automated code generation techniques have shown great promise in recent years. However, the generated code is difficult to me…

cs.SE2023

Test Reuse Based on Adaptive Semantic Matching across Android Mobile Applications

Shuqi Liu, Yu Zhou, Tingting Han +1

Automatic test generation can help verify and develop the behavior of mobile applications. Test reuse based on semantic similarities between applications of the same category has b…