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Adversarial Robustness for Code

Adversarial Robustness for Code

11 February 2020
Pavol Bielik
Martin Vechev
    AAML
ArXivPDFHTML

Papers citing "Adversarial Robustness for Code"

15 / 15 papers shown
Title
Does Self-Attention Need Separate Weights in Transformers?
Md. Kowsher
Nusrat Jahan Prottasha
Chun-Nam Yu
O. Garibay
Niloofar Yousefi
183
0
0
30 Nov 2024
Impeding LLM-assisted Cheating in Introductory Programming Assignments
  via Adversarial Perturbation
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation
Saiful Islam Salim
Rubin Yuchan Yang
Alexander Cooper
Suryashree Ray
Saumya Debray
Sazzadur Rahaman
AAML
44
0
0
12 Oct 2024
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability
  Detection Systems
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
Sicong Cao
Xiaobing Sun
Xiaoxue Wu
David Lo
Lili Bo
Bin Li
Wei Liu
AAML
32
12
0
26 Jan 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
30
20
0
30 Dec 2023
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Chi Zhang
Zifan Wang
Ravi Mangal
Matt Fredrikson
Limin Jia
Corina S. Pasareanu
AAML
SILM
27
1
0
22 Nov 2023
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
Zeming Dong
Qiang Hu
Yuejun Guo
Maxime Cordy
Mike Papadakis
Zhenya Zhang
Yves Le Traon
Jianjun Zhao
25
8
0
06 Oct 2022
Characterizing and Understanding the Behavior of Quantized Models for
  Reliable Deployment
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment
Qiang Hu
Yuejun Guo
Maxime Cordy
Xiaofei Xie
Wei Ma
Mike Papadakis
Yves Le Traon
MQ
36
1
0
08 Apr 2022
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding
  Style Transformation
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation
Zhen Li
Guenevere Chen
Chen
Chen Chen
Yayi Zou
Shouhuai Xu
AAML
AI4TS
13
44
0
12 Feb 2022
Unveiling Project-Specific Bias in Neural Code Models
Unveiling Project-Specific Bias in Neural Code Models
Zhiming Li
Yanzhou Li
Tianlin Li
Mengnan Du
Bozhi Wu
Yushi Cao
Yi Li
Yang Liu
31
5
0
19 Jan 2022
Generating Adversarial Computer Programs using Optimized Obfuscations
Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant
Sijia Liu
Tamara Mitrovska
Shiyu Chang
Quanfu Fan
Gaoyuan Zhang
Una-May O’Reilly
AAML
22
43
0
18 Mar 2021
On the Generalizability of Neural Program Models with respect to
  Semantic-Preserving Program Transformations
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations
Md Rafiqul Islam Rabin
Nghi D. Q. Bui
Ke Wang
Yijun Yu
Lingxiao Jiang
Mohammad Amin Alipour
30
90
0
31 Jul 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
35
97
0
07 Feb 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
194
745
0
03 Sep 2019
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
183
290
0
03 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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