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Robustness to Programmable String Transformations via Augmented Abstract
  Training
v1v2v3v4 (latest)

Robustness to Programmable String Transformations via Augmented Abstract Training

International Conference on Machine Learning (ICML), 2020
22 February 2020
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
ArXiv (abs)PDFHTML

Papers citing "Robustness to Programmable String Transformations via Augmented Abstract Training"

10 / 10 papers shown
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an
  Application to Certified Robustness
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an Application to Certified Robustness
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
OffRL
151
0
0
27 May 2024
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding
  Style Transformation
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style TransformationInternational Conference on Software Engineering (ICSE), 2022
Zhen Li
Guenevere Chen
Chen
Chen Chen
Yayi Zou
Shouhuai Xu
AAMLAI4TS
230
62
0
12 Feb 2022
Certifying Robustness to Programmable Data Bias in Decision Trees
Certifying Robustness to Programmable Data Bias in Decision TreesNeural Information Processing Systems (NeurIPS), 2021
Anna P. Meyer
Aws Albarghouthi
Loris Dántoni
194
28
0
08 Oct 2021
Towards Making Deep Learning-based Vulnerability Detectors Robust
Towards Making Deep Learning-based Vulnerability Detectors Robust
Zhen Li
Jing Tang
Deqing Zou
Qian Chen
Shouhuai Xu
Chao Zhang
Yichen Li
Hai Jin
AAML
142
11
0
02 Aug 2021
Automatic Fairness Testing of Neural Classifiers through Adversarial
  Sampling
Automatic Fairness Testing of Neural Classifiers through Adversarial SamplingIEEE Transactions on Software Engineering (TSE), 2021
Peixin Zhang
Jingyi Wang
Jun Sun
Xinyu Wang
Guoliang Dong
Xingen Wang
Ting Dai
Jin Song Dong
166
26
0
17 Jul 2021
Certified Robustness to Programmable Transformations in LSTMs
Certified Robustness to Programmable Transformations in LSTMsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
AAML
209
24
0
15 Feb 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural NetworksIEEE Symposium on Security and Privacy (IEEE S&P), 2020
Linyi Li
Tao Xie
Yue Liu
AAML
851
150
0
09 Sep 2020
Interval Universal Approximation for Neural Networks
Interval Universal Approximation for Neural Networks
Zi Wang
Aws Albarghouthi
Gautam Prakriya
S. Jha
332
28
0
12 Jul 2020
Adversarial Robustness for Code
Adversarial Robustness for CodeInternational Conference on Machine Learning (ICML), 2020
Pavol Bielik
Martin Vechev
AAML
337
100
0
11 Feb 2020
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
830
653
0
31 Oct 2017
1
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