Understanding and Mitigating the Tradeoff Between Robustness and Accuracy

25 February 2020

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

50 / 53 papers shown

Title
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 202 0 0 27 Feb 2025
Towards Universal Certified Robustness with Multi-Norm Training Enyi Jiang Gagandeep Singh Gagandeep Singh AAML 57 1 0 03 Oct 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 52 1 0 05 Sep 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 46 1 0 17 Jun 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth C. Pehlevan AAML OOD 41 0 0 27 May 2024
SATO: Stable Text-to-Motion Framework Wenshuo Chen Hongru Xiao Erhang Zhang Lijie Hu Lei Wang Mengyuan Liu C. L. P. Chen 35 4 0 02 May 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 31 1 0 16 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 52 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
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 23 0 0 06 Jan 2024
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis Shashank Kotyan Tatsuya Ueda Danilo Vasconcellos Vargas 27 1 0 07 Dec 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 22 2 0 26 Nov 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 11 3 0 30 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
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 24 4 0 25 May 2023
Collaborative Development of NLP models Fereshte Khani Marco Tulio Ribeiro 25 2 0 20 May 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 27 4 0 06 Apr 2023
Generalist: Decoupling Natural and Robust Generalization Hongjun Wang Yisen Wang OOD AAML 46 14 0 24 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 36 34 0 19 Mar 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You Daochang Liu Bohyung Han Chang Xu AAML VLM 41 4 0 02 Feb 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 28 18 0 29 Jan 2023
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He-Nan Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 32 6 0 21 Nov 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 28 12 0 21 Oct 2022
Strength-Adaptive Adversarial Training Chaojian Yu Dawei Zhou Li Shen Jun Yu Bo Han Mingming Gong Nannan Wang Tongliang Liu OOD 17 2 0 04 Oct 2022
Sound and Complete Verification of Polynomial Networks Elias Abad Rocamora Mehmet Fatih Şahin Fanghui Liu Grigorios G. Chrysos V. Cevher 19 5 0 15 Sep 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 37 38 0 18 Jul 2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction Ruochen Jiao Xiangguo Liu Takami Sato Qi Alfred Chen Qi Zhu AAML 28 20 0 27 May 2022
The Effects of Regularization and Data Augmentation are Class Dependent Randall Balestriero Léon Bottou Yann LeCun 28 94 0 07 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components Jiawang Bai Liuliang Yuan Shutao Xia Shuicheng Yan Zhifeng Li W. Liu ViT 8 90 0 03 Apr 2022
A Manifold View of Adversarial Risk Wen-jun Zhang Yikai Zhang Xiaoling Hu Mayank Goswami Chao Chen Dimitris N. Metaxas AAML 9 6 0 24 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 42 29 0 15 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He-Nan Wang Yunfeng Diao Zichang Tan G. Guo AAML 45 10 0 09 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 13 18 0 03 Mar 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis Shuai Zhang M. Wang Sijia Liu Pin-Yu Chen Jinjun Xiong SSL MLT 39 22 0 21 Jan 2022
Benign Overfitting in Adversarially Robust Linear Classification Jinghui Chen Yuan Cao Quanquan Gu AAML SILM 28 10 0 31 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin S. Feizi Ramalingam Chellappa AAML 27 12 0 12 Dec 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 20 56 0 30 Nov 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness Ke Sun Mingjie Li Zhouchen Lin AAML 19 2 0 03 Nov 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 44 100 0 07 Oct 2021
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective Adhyyan Narang Vidya Muthukumar A. Sahai SILM AAML 28 1 0 27 Sep 2021
Interpolation can hurt robust generalization even when there is no noise Konstantin Donhauser Alexandru cTifrea Michael Aerni Reinhard Heckel Fanny Yang 26 14 0 05 Aug 2021
Generate, Annotate, and Learn: NLP with Synthetic Text Xuanli He Islam Nassar J. Kiros Gholamreza Haffari Mohammad Norouzi 31 51 0 11 Jun 2021
StyleLess layer: Improving robustness for real-world driving Julien Rebut Andrei Bursuc P. Pérez 20 5 0 25 Mar 2021
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 48 669 0 06 Nov 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 26 48 0 19 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training Jingfeng Zhang Jianing Zhu Gang Niu Bo Han Masashi Sugiyama Mohan S. Kankanhalli AAML 22 269 0 05 Oct 2020
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification Chen Dan Yuting Wei Pradeep Ravikumar 24 45 0 29 Jun 2020
Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar Tengyu Ma Percy Liang CLL TTA 28 226 0 26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 19 396 0 26 Feb 2020