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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
Enhancing Adversarial Robustness through Multi-Objective Representation Learning Sedjro Salomon Hotegni Sebastian Peitz AAML 92 2 0 01 Jul 2025
Robust Training with Data Augmentation for Medical Imaging Classification Josué Martínez-Martínez Olivia Brown Mostafa Karami S. Nabavi OOD AAML MedIm 14 1 0 20 Jun 2025
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Salijona Dyrmishi Mohamed Djilani Thibault Simonetto Salah Ghamizi Maxime Cordy AAML LMTD 44 0 0 18 Jun 2025
GrokAlign: Geometric Characterisation and Acceleration of Grokking Thomas Walker Ahmed Imtiaz Humayun Randall Balestriero Richard G. Baraniuk 32 0 0 14 Jun 2025
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation Shiji Zhao Chi Chen Ranjie Duan Xizhe Wang Xingxing Wei 23 0 0 10 Jun 2025
ProARD: progressive adversarial robustness distillation: provide wide range of robust students Seyedhamidreza Mousavi Seyedali Mousavi Masoud Daneshtalab AAML 19 0 0 09 Jun 2025
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Jie Bao Chuangyin Dang Rui Luo Hanwei Zhang Zhixin Zhou AAML 34 1 0 09 Jun 2025
D2R: dual regularization loss with collaborative adversarial generation for model robustness Zhenyu Liu H. Liang R. Ranjan Zhanxing Zhu V. Snás̃el Varun Ojha 15 0 0 08 Jun 2025
Sample-Specific Noise Injection For Diffusion-Based Adversarial Purification Yuhao Sun Jiacheng Zhang Zesheng Ye Chaowei Xiao Feng Liu DiffM 50 0 0 06 Jun 2025
Towards provable probabilistic safety for scalable embodied AI systems Linxuan He Qing-Shan Jia Ang Li Hongyan Sang Ling Wang ... Yisen Wang Peng Wei Zhongyuan Wang Henry X. Liu Shuo Feng 25 0 0 05 Jun 2025
When Maximum Entropy Misleads Policy Optimization Ruipeng Zhang Ya-Chien Chang Sicun Gao 34 0 0 05 Jun 2025
Dynamic Epsilon Scheduling: A Multi-Factor Adaptive Perturbation Budget for Adversarial Training Alan Mitkiy James Smith Hana Satou Hiroshi Tanaka Emily Johnson F Monkey AAML 10 0 0 03 Jun 2025
Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM Lei Yu Yechao Zhang Ziqi Zhou Yang Wu Wei Wan Minghui Li Shengshan Hu Pei Xiaobing Jing Wang AAML 22 0 0 28 May 2025
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders Borna Khodabandeh Amirabbas Afzali Amirhossein Afsharrad Seyed Shahabeddin Mousavi Sanjay Lall Sajjad Amini Seyed-Mohsen Moosavi-Dezfooli AAML 36 0 0 24 May 2025
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 127 0 0 20 May 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 99 0 0 10 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 155 1 0 08 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora Dipen Pradhan Ankit Shetgaonkar Aman Raj AAML 170 0 0 06 May 2025
Entropy-Guided Sampling of Flat Modes in Discrete Spaces Pinaki Mohanty Riddhiman Bhattacharya Ruqi Zhang 434 0 0 05 May 2025
Risk Analysis and Design Against Adversarial Actions M. Campi A. Carè Luis G. Crespo S. Garatti Federico A. Ramponi AAML 445 0 0 02 May 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 576 1 0 20 Apr 2025
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability Mohammad Hossein Najafi Mohammad Morsali Mohammadreza Pashanejad Saman Soleimani Roudi Mohammad Norouzi Saeed Bagheri Shouraki AAML 109 0 0 07 Apr 2025
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Meng Hu Rihao Li Wenhui Wu Yuheng Jia AAML 122 0 0 26 Mar 2025
On the Robustness Tradeoff in Fine-Tuning Kunyang Li Jean-Charles Noirot Ferrand Ryan Sheatsley Blaine Hoak Yohan Beugin Eric Pauley Patrick McDaniel 91 0 0 19 Mar 2025
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models Xiaojun Jia Sensen Gao Simeng Qin Ke Ma Xianrui Li Yihao Huang Wei Dong Yang Liu Xiaochun Cao AAML VLM 120 2 0 17 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 99 0 0 14 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 236 2 0 10 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 498 0 0 09 Mar 2025
Generalizable Image Repair for Robust Visual Autonomous Racing Carson Sobolewski Zhenjiang Mao Kshitij Vejre Ivan Ruchkin 87 0 0 07 Mar 2025
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy Jiacheng Zhang Benjamin I. P. Rubinstein Jing Zhang Feng Liu 131 0 0 04 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions Wang YuHang Junkang Guo Aolei Liu Kaihao Wang Zaitong Wu Zhenyu Liu Wenfei Yin Jian Liu AAML 101 0 0 02 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 92 0 0 02 Mar 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 184 0 0 20 Feb 2025
CyberSentinel: An Emergent Threat Detection System for AI Security Krti Tallam 86 4 0 20 Feb 2025
Wasserstein distributional adversarial training for deep neural networks Xingjian Bai Guangyi He Yifan Jiang Jan Obloj OOD 151 0 0 13 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 122 0 0 08 Feb 2025
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting Yibo Xu Dawei Zhou Decheng Liu N. Wang AAML 89 0 0 06 Feb 2025
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles Younggun Kim Beomsik Cho Seonghoon Ryoo Soomok Lee 3DPC 172 0 0 27 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 214 1 0 22 Jan 2025
Robust Representation Consistency Model via Contrastive Denoising Jiachen Lei Julius Berner Jiongxiao Wang Zhongzhu Chen Zhongjia Ba Kui Ren Jun Zhu Anima Anandkumar DiffM 156 0 0 22 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 444 0 0 20 Jan 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes Pritish Chakraborty Vinayak Gupta R. Raj Srikanta J. Bedathur A. De AAML 512 0 0 17 Jan 2025
On the uncertainty principle of neural networks Jun-Jie Zhang Dong-xiao Zhang Jian-Nan Chen L. Pang Deyu Meng 145 3 0 17 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 118 0 0 13 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 84 3 0 08 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 77 0 0 31 Dec 2024
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 99 1 0 31 Dec 2024
Holistic Adversarially Robust Pruning Qi Zhao Christian Wressnegger 129 9 0 19 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval Tingwei Zhang Fnu Suya Rishi Jha Collin Zhang Vitaly Shmatikov AAML 171 1 0 18 Dec 2024
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations Caixin Kang Yubo Chen Shouwei Ruan Shiji Zhao Ruochen Zhang Jiayi Wang Shan Fu Xingxing Wei CVBM 187 0 0 03 Dec 2024