Understanding and Mitigating the Tradeoff Between Robustness and Accuracy

25 February 2020

Papers citing "Understanding and Mitigating the Tradeoff Between Robustness and Accuracy"

50 / 149 papers shown

Title
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 212 0 0 27 Feb 2025
Robustness and Cybersecurity in the EU Artificial Intelligence Act Henrik Nolte Miriam Rateike Michèle Finck 38 1 0 22 Feb 2025
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction P. Melki Lionel Bombrun Boubacar Diallo Jérôme Dias Jean-Pierre da Costa 41 0 0 13 Jan 2025
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 55 0 0 31 Dec 2024
New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes Y. Wang Li Liu Zi Liang Qingqing Ye Haibo Hu AAML 23 1 0 16 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou Yaoxin Wu Zhiguang Cao Wen Song Jie Zhang Zhiqi Shen AAML 23 3 0 07 Oct 2024
Towards Universal Certified Robustness with Multi-Norm Training Enyi Jiang Gagandeep Singh Gagandeep Singh AAML 60 1 0 03 Oct 2024
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning Sedjro Salomon Hotegni Sebastian Peitz AAML 26 2 0 02 Oct 2024
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration Hanyi Hu Qiao Han Kui Chen Yao Yang AAML 25 0 0 18 Sep 2024
Recent Advances in Attack and Defense Approaches of Large Language Models Jing Cui Yishi Xu Zhewei Huang Shuchang Zhou Jianbin Jiao Junge Zhang PILM AAML 57 1 0 05 Sep 2024
Deep Learning with Data Privacy via Residual Perturbation Wenqi Tao Huaming Ling Zuoqiang Shi Bao Wang 21 2 0 11 Aug 2024
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations Jinfeng Li YueFeng Chen Xiangyu Liu Longtao Huang Rong Zhang Hui Xue AAML 31 0 0 11 Jul 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das Inderjit S Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong 52 1 0 17 Jun 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth C. Pehlevan AAML OOD 49 0 0 27 May 2024
SATO: Stable Text-to-Motion Framework Wenshuo Chen Hongru Xiao Erhang Zhang Lijie Hu Lei Wang Mengyuan Liu Cheng Chen 43 5 0 02 May 2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning Bo Li Haoke Xiao Lv Tang 30 9 0 01 May 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 32 5 0 19 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 36 1 0 16 Feb 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis Degan Hao Dooman Arefan M. Zuley Wendie Berg Shandong Wu OOD MedIm 28 1 0 13 Feb 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations Enyi Jiang Gagandeep Singh AAML 30 1 0 09 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 54 0 0 08 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 43 1 0 07 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 24 6 0 03 Feb 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 23 0 0 06 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Understanding the Detrimental Class-level Effects of Data Augmentation Polina Kirichenko Mark Ibrahim Randall Balestriero Diane Bouchacourt Ramakrishna Vedantam Hamed Firooz Andrew Gordon Wilson 45 12 0 07 Dec 2023
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis Shashank Kotyan Tatsuya Ueda Danilo Vasconcellos Vargas 29 1 0 07 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 52 6 0 05 Dec 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Alan L. Yuille S. Feizi Chun Pong Lau Rama Chellappa DiffM AAML 27 5 0 27 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 27 2 0 26 Nov 2023
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization Yuzhe You Jarvis Tse Jian Zhao AAML 25 3 0 22 Nov 2023
Robust Contrastive Learning With Theory Guarantee Ngoc N. Tran Lam C. Tran Hoang Phan Anh-Vu Bui Tung Pham Toan M. Tran Dinh Q. Phung Trung Le SSL NoLa 29 0 0 16 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou Jindong Wang Yu-xiong Wang Haohan Wang VLM 49 6 0 02 Nov 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data Cheng-Hao Tu Hong-You Chen Zheda Mai Shitian Zhao Vardaan Pahuja Tanya Berger-Wolf Song Gao Charles V. Stewart Yu-Chuan Su Wei-Lun Chao CLL 36 3 0 02 Nov 2023
Understanding and Improving Ensemble Adversarial Defense Yian Deng Tingting Mu AAML 19 19 0 27 Oct 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki Shinýa Yamaguchi Shoichiro Takeda Sekitoshi Kanai Naoki Makishima Atsushi Ando Ryo Masumura AAML 30 4 0 31 Aug 2023
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification P. Melki Lionel Bombrun Boubacar Diallo Jérôme Dias Jean-Pierre da Costa 22 7 0 29 Aug 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning Kaijie Zhu Jindong Wang Xixu Hu Xingxu Xie G. Yang AAML 35 23 0 01 Aug 2023
Zero-Shot Learning by Harnessing Adversarial Samples Zhi Chen P. Zhang Jingjing Li Sen Wang Zi Huang VLM 31 19 0 01 Aug 2023
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks Ashish Hooda Neal Mangaokar Ryan Feng Kassem Fawaz S. Jha Atul Prakash AAML 16 3 0 30 Jul 2023
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions B. Bahmani H. S. Suh WaiChing Sun 23 17 0 24 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 35 0 0 08 Jul 2023
How robust accuracy suffers from certified training with convex relaxations Piersilvio De Bartolomeis Jacob Clarysse Amartya Sanyal Fanny Yang AAML 33 2 0 12 Jun 2023
Learning under random distributional shifts Kirk Bansak E. Paulson Dominik Rothenhäusler OOD 16 4 0 05 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang Tianyu Pang Yang Liu AAML 13 14 0 02 Jun 2023
Robust Natural Language Understanding with Residual Attention Debiasing Fei Wang James Y. Huang Tianyi Yan Wenxuan Zhou Muhao Chen 31 10 0 28 May 2023
Faster Margin Maximization Rates for Generic and Adversarially Robust Optimization Methods Guanghui Wang Zihao Hu Claudio Gentile Vidya Muthukumar Jacob D. Abernethy 30 0 0 27 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text Ashim Gupta Carter Blum Temma Choji Yingjie Fei Shalin S Shah Alakananda Vempala Vivek Srikumar AAML 26 9 0 25 May 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 26 4 0 25 May 2023
Collaborative Development of NLP models Fereshte Khani Marco Tulio Ribeiro 30 2 0 20 May 2023