Data Augmentation Can Improve Robustness

9 November 2021

Sylvestre-Alvise Rebuffi

Papers citing "Data Augmentation Can Improve Robustness"

50 / 154 papers shown

Title
DAFA: Distance-Aware Fair Adversarial Training Hyungyu Lee Saehyung Lee Hyemi Jang Junsung Park Ho Bae Sungroh Yoon 31 6 0 23 Jan 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations Helen Qu Sang Michael Xie 26 5 0 08 Jan 2024
Limitations of Data-Driven Spectral Reconstruction -- Optics-Aware Analysis and Mitigation Qiang Fu Matheus Souza E. Choi Suhyun Shin Seung-Hwan Baek Wolfgang Heidrich 45 0 0 08 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 14 1 0 05 Jan 2024
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation Shiji Zhao Xizhe Wang Xingxing Wei 34 2 0 09 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 35 0 0 08 Dec 2023
Guarding Barlow Twins Against Overfitting with Mixed Samples W. G. C. Bandara C. D. Melo Vishal M. Patel SSL 37 11 0 04 Dec 2023
Topology-Preserving Adversarial Training Xiaoyue Mi Fan Tang Yepeng Weng Danding Wang Juan Cao Sheng Tang Peng Li Yang Liu 54 1 0 29 Nov 2023
Trainwreck: A damaging adversarial attack on image classifiers Jan Zahálka 29 1 0 24 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci Robert Legenstein AAML 38 8 0 15 Nov 2023
CycleCL: Self-supervised Learning for Periodic Videos Matteo Destro Michael Gygli SSL 35 1 0 05 Nov 2023
Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction Abhijith Sharma Phil Munz Apurva Narayan AAML 22 0 0 02 Nov 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 31 11 0 30 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 38 1 0 25 Oct 2023
Black-box Targeted Adversarial Attack on Segment Anything (SAM) Sheng Zheng Chaoning Zhang Xinhong Hao AAML 40 7 0 16 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 36 9 0 12 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 40 4 0 03 Oct 2023
Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning Hongyan Zhou Yao Liang OOD 13 0 0 24 Sep 2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic Yuqi Qing Qilei Yin Xinhao Deng Yihao Chen Zhuotao Liu Kun Sun Ke Xu Jia Zhang Qi Li AAML 21 17 0 09 Sep 2023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models Neel Jain Avi Schwarzschild Yuxin Wen Gowthami Somepalli John Kirchenbauer Ping Yeh-Chiang Micah Goldblum Aniruddha Saha Jonas Geiping Tom Goldstein AAML 60 340 0 01 Sep 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 34 16 0 19 Aug 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 25 5 0 13 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov J. Keuper AAML 38 3 0 12 Aug 2023
Fixed Inter-Neuron Covariability Induces Adversarial Robustness Muhammad Ahmed Shah Bhiksha Raj AAML 23 0 0 07 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks Muhammad Ahmed Shah Bhiksha Raj AAML 38 4 0 01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 2 0 01 Aug 2023
NSA: Naturalistic Support Artifact to Boost Network Confidence Abhijith Sharma Phil Munz Apurva Narayan AAML 30 1 0 27 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 33 9 0 14 Jul 2023
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems Roman Beltiukov Wenbo Guo Arpit Gupta W. Willinger 27 14 0 15 Jun 2023
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness Jiapeng Wu Atiyeh Ashari Ghomi David Glukhov Jesse C. Cresswell Franziska Boenisch Nicolas Papernot AAML 39 1 0 14 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 26 0 0 13 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 38 4 0 12 Jun 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 42 10 0 25 May 2023
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness Ziuhi Wu Haichang Gao Bingqian Zhou Ping Wang AAML 18 0 0 24 May 2023
Annealing Self-Distillation Rectification Improves Adversarial Training Yuehua Wu Hung-Jui Wang Shang-Tse Chen AAML 24 3 0 20 May 2023
Advising OpenMP Parallelization via a Graph-Based Approach with Transformers Tal Kadosh Nadav Schneider N. Hasabnis Tim Mattson Yuval Pinter Gal Oren 33 17 0 16 May 2023
Robustness of Visual Explanations to Common Data Augmentation Lenka Tětková Lars Kai Hansen AAML 26 6 0 18 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 29 275 0 14 Apr 2023
Understanding Overfitting in Adversarial Training via Kernel Regression Teng Zhang Kang Li 24 2 0 13 Apr 2023
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements Samantha Robertson Zijie J. Wang Dominik Moritz Mary Beth Kery Fred Hohman 38 15 0 12 Apr 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 15 0 0 29 Mar 2023
CAT:Collaborative Adversarial Training Xingbin Liu Huafeng Kuang Xianming Lin Yongjian Wu Rongrong Ji AAML 22 4 0 27 Mar 2023
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing Lin Li Michael W. Spratling AAML 64 4 0 24 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 31 9 0 22 Mar 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu Yi Tian Xu Xiangyang Ji Antoni B. Chan AAML 27 17 0 20 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification M. Lee Dongwoo Kim 34 54 0 16 Mar 2023
Fine-Grained ImageNet Classification in the Wild Maria Lymperaiou Konstantinos Thomas Giorgos Stamou VLM 33 1 0 04 Mar 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models Naman D. Singh Francesco Croce Matthias Hein OOD 45 62 0 03 Mar 2023
Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis M. Cossio 8 13 0 02 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 33 74 0 28 Feb 2023