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Theoretically Principled Trade-off between Robustness and Accuracy

24 January 2019

Papers citing "Theoretically Principled Trade-off between Robustness and Accuracy"

50 / 837 papers shown

Title
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu Weili Nie De-An Huang Zhiding Yu Tom Goldstein Anima Anandkumar Chaowei Xiao VLM VPVLM 274 309 0 15 Sep 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 101 71 0 15 Sep 2022
Part-Based Models Improve Adversarial Robustness Chawin Sitawarin Kornrapat Pongmala Yizheng Chen Nicholas Carlini David Wagner 98 12 0 15 Sep 2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization Omar Montasser Steve Hanneke Nathan Srebro 78 18 0 15 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 54 11 0 15 Sep 2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention Francesco Croce Matthias Hein 87 6 0 14 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 104 13 0 07 Sep 2022
Bag of Tricks for FGSM Adversarial Training Zichao Li Li Liu Zeyu Wang Yuyin Zhou Cihang Xie AAML 64 6 0 06 Sep 2022
Revisiting Outer Optimization in Adversarial Training Ali Dabouei Fariborz Taherkhani Sobhan Soleymani Nasser M. Nasrabadi AAML 90 4 0 02 Sep 2022
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets Damien Teney Yong Lin Seong Joon Oh Ehsan Abbasnejad OOD 631 50 0 01 Sep 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness Klim Kireev B. Kulynych Carmela Troncoso AAML 91 18 0 27 Aug 2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training Zihui Wu Haichang Gao Bingqian Zhou Xiaoyan Guo Shudong Zhang AAML 56 0 0 26 Aug 2022
Why is the video analytics accuracy fluctuating, and what can we do about it? Sibendu Paul Kunal Rao G. Coviello Murugan Sankaradas Oliver Po Y. C. Hu S. Chakradhar AAML 73 3 0 23 Aug 2022
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization Anshul Nasery Sravanti Addepalli Praneeth Netrapalli Prateek Jain OOD FedML 88 1 0 19 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance Bahjat Kawar Roy Ganz Michael Elad DiffM 91 39 0 18 Aug 2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML 86 3 0 12 Aug 2022
Robust Trajectory Prediction against Adversarial Attacks Yulong Cao Danfei Xu Xinshuo Weng Zhuoqing Mao Anima Anandkumar Chaowei Xiao Marco Pavone AAML 69 30 0 29 Jul 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 83 24 0 25 Jul 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 108 18 0 24 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness? Roy Ganz Bahjat Kawar Michael Elad AAML 45 10 0 22 Jul 2022
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness Chaoning Zhang Kang Zhang Chenshuang Zhang Axi Niu Jiu Feng Chang D. Yoo In So Kweon SSL 96 25 0 22 Jul 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 57 1 0 21 Jul 2022
Tailoring Self-Supervision for Supervised Learning WonJun Moon Ji-Hwan Kim Jae-Pil Heo SSL 55 10 0 20 Jul 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 121 67 0 20 Jul 2022
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game Xiao-Shan Gao Shuang Liu Lijia Yu AAML 76 0 0 17 Jul 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 98 27 0 17 Jul 2022
Hessian-Free Second-Order Adversarial Examples for Adversarial Learning Yaguan Qian Yu-qun Wang Bin Wang Zhaoquan Gu Yu-Shuang Guo Wassim Swaileh AAML 106 3 0 04 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen Peihao Wang Zhiwen Fan Zhangyang Wang 106 55 0 04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 107 42 0 04 Jul 2022
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors Federica Granese Marine Picot Marco Romanelli Francisco Messina Pablo Piantanida AAML 79 3 0 30 Jun 2022
Exact Spectral Norm Regularization for Neural Networks Anton Johansson Claes Strannegård Niklas Engsner P. Mostad AAML 70 2 0 27 Jun 2022
Measuring Representational Robustness of Neural Networks Through Shared Invariances Vedant Nanda Till Speicher Camila Kolling John P. Dickerson Krishna P. Gummadi Adrian Weller 134 14 0 23 Jun 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang Soheil Feizi Sumitra Ganesh Furong Huang AAML 82 10 0 21 Jun 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method Keiichiro Yamamura Haruki Sato Nariaki Tateiwa Nozomi Hata Toru Mitsutake Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 96 14 0 20 Jun 2022
On the Limitations of Stochastic Pre-processing Defenses Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 111 32 0 19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 94 21 0 18 Jun 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval Yihan Wu Hongyang R. Zhang Heng Huang 3DV 81 17 0 17 Jun 2022
Catastrophic overfitting can be induced with discriminative non-robust features Guillermo Ortiz-Jiménez Pau de Jorge Amartya Sanyal Adel Bibi P. Dokania P. Frossard Grégory Rogez Philip Torr AAML 61 3 0 16 Jun 2022
Analysis and Extensions of Adversarial Training for Video Classification K. A. Kinfu René Vidal AAML 86 13 0 16 Jun 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang CLL 84 4 0 15 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 73 12 0 13 Jun 2022
Pixel to Binary Embedding Towards Robustness for CNNs Ikki Kishida Hideki Nakayama 137 0 0 13 Jun 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness Shruthi Gowda Bahram Zonooz Elahe Arani 66 5 0 12 Jun 2022
SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer Junde Wu Huihui Fang Fangxin Shang Dalu Yang Zhao-Yang Wang Jing Gao Yehui Yang Yanwu Xu MedIm ViT 92 19 0 12 Jun 2022
Toward Certified Robustness Against Real-World Distribution Shifts Haoze Wu Teruhiro Tagomori Alexander Robey Fengjun Yang Nikolai Matni George Pappas Hamed Hassani C. Păsăreanu Clark W. Barrett AAML OOD 115 18 0 08 Jun 2022
Fast Adversarial Training with Adaptive Step Size Zhichao Huang Yanbo Fan Chen Liu Weizhong Zhang Yong Zhang Mathieu Salzmann Sabine Süsstrunk Jue Wang AAML 74 33 0 06 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training Guodong Cao Peng Kuang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 36 2 0 05 Jun 2022
Gradient Obfuscation Checklist Test Gives a False Sense of Security Nikola Popovic D. Paudel Thomas Probst Luc Van Gool AAML 81 6 0 03 Jun 2022
Understanding Deep Learning via Decision Boundary Shiye Lei Fengxiang He Yancheng Yuan Dacheng Tao 72 14 0 03 Jun 2022
Robustness Evaluation and Adversarial Training of an Instance Segmentation Model Jacob Bond Andrew J. Lingg AAML 109 0 0 02 Jun 2022