activity
20222026
most citedNatural Attack for Pre-trained Models of Code

163 citations · 302 across the 32 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.LG2022★ 3 cited

BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets

Chen Gong, Zhou Yang, Yunpeng Bai +8

Reinforcement learning (RL) makes an agent learn from trial-and-error experiences gathered during the interaction with the environment. Recently, offline RL has become a popular RL…

cs.SE2022

Answer Summarization for Technical Queries: Benchmark and New Approach

Yang Chengran, Bowen Xu, Ferdian Thung +8

Prior studies have demonstrated that approaches to generate an answer summary for a given technical query in Software Question and Answer (SQA) sites are desired. We find that exis…

cs.SE2022★ 43 cited

PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models

Junda He, Bowen Xu, Zhou Yang +3

Stack Overflow is often viewed as the most influential Software Question Answer (SQA) website with millions of programming-related questions and answers. Tags play a critical role…

cs.SE2022★ 163 cited

Natural Attack for Pre-trained Models of Code

Zhou Yang, Jieke Shi, Junda He +1

Pre-trained models of code have achieved success in many important software engineering tasks. However, these powerful models are vulnerable to adversarial attacks that slightly pe…

cs.SE2022

Can Identifier Splitting Improve Open-Vocabulary Language Model of Code?

Jieke Shi, Zhou Yang, Junda He +2

Statistical language models on source code have successfully assisted software engineering tasks. However, developers can create or pick arbitrary identifiers when writing source c…