Robustness to Programmable String Transformations via Augmented Abstract
Training

v1v2v3v4 (latest)

Robustness to Programmable String Transformations via Augmented Abstract Training

22 February 2020

Aws Albarghouthi

ArXiv (abs)PDF HTML

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

10 / 10 papers shown

Title
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an Application to Certified Robustness Yuhao Zhang Aws Albarghouthi Loris Dántoni OffRL 58 0 0 27 May 2024
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation Zhen Li Guenevere Chen Chen Chen Chen Yayi Zou Shouhuai Xu AAML AI4TS 68 48 0 12 Feb 2022
Certifying Robustness to Programmable Data Bias in Decision Trees Anna P. Meyer Aws Albarghouthi Loris Dántoni 70 22 0 08 Oct 2021
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 13 8 0 02 Aug 2021
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling Peixin Zhang Jingyi Wang Jun Sun Xinyu Wang Guoliang Dong Xingen Wang Ting Dai Jin Song Dong 35 24 0 17 Jul 2021
Certified Robustness to Programmable Transformations in LSTMs Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML 76 22 0 15 Feb 2021
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 123 131 0 09 Sep 2020
Interval Universal Approximation for Neural Networks Zi Wang Aws Albarghouthi Gautam Prakriya S. Jha 72 25 0 12 Jul 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 66 88 0 11 Feb 2020
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 194 601 0 31 Oct 2017