Papers citing 'Do Wider Neural Networks Really Help Adversarial Robustness?'

Title
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning Ethan Hsu Harry Chen Chudi Zhong Lesia Semenova 68 0 0 26 Nov 2025
Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation Paul Hamelbeck Johannes Schiffer AAML 85 0 0 22 Sep 2025
CIARD: Cyclic Iterative Adversarial Robustness Distillation Liming Lu Shuchao Pang Xu Zheng Xiang Gu Anan Du Yunhuai Liu Yongbin Zhou AAML 139 0 0 16 Sep 2025
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss Yunrui Yu Hang Su Cheng-zhong Xu Zhizhong Su Jun Zhu 115 0 0 30 Jul 2025
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation Hayat Ullah Syed Muhammad Talha Zaidi Arslan Munir AAML 191 0 0 28 Jul 2025
Asymptotic convexity of wide and shallow neural networks Vivek Borkar Parthe Pandit 194 0 0 23 Jun 2025
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical JustificationComputer Vision and Pattern Recognition (CVPR), 2025 Dongyoon Yang Jihu Lee Yongdai Kim 251 0 0 10 May 2025
Two is Better than One: Efficient Ensemble Defense for Robust and Compact ModelsComputer Vision and Pattern Recognition (CVPR), 2025 Yoojin Jung Byung Cheol Song AAML VLM MQ 178 1 0 07 Apr 2025
MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation Yuzheng Wang Zhaoyu Chen Jinjie Wei Yuanhang Wang Lizhe Qi AAML 320 0 0 09 Mar 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 353 6 0 28 Jan 2025
Holistic Adversarially Robust PruningInternational Conference on Learning Representations (ICLR), 2024 Qi Zhao Christian Wressnegger 217 13 0 19 Dec 2024
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution J. Reif Jiakang Li Bowen Tian Alexander Fay AAML 163 0 0 18 Jul 2024
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis Zhang Chen Christian Scano Srishti Gupta Xiaoyi Feng Zhaoqiang Xia ... Maura Pintor Luca Oneto Ambra Demontis Battista Biggio Fabio Roli AAML 313 2 0 14 Jun 2024
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness Dingrong Wang Hitesh Sapkota Zhiqiang Tao Qi Yu AAML 206 3 0 10 Jun 2024
The Cost of Arbitrariness for Individuals: Examining the Legal and Technical Challenges of Model Multiplicity Prakhar Ganesh Ihsan Ibrahim Daldaban Ignacio Cofone G. Farnadi 272 3 0 28 May 2024
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers Shayan Mohajer Hamidi Linfeng Ye AAML 220 2 0 22 May 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 224 0 0 09 Apr 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 310 8 0 19 Feb 2024
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random FeaturesInternational Conference on Machine Learning (ICML), 2024 Simone Bombari Marco Mondelli 237 6 0 05 Feb 2024
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks Ziquan Liu Zhuo Zhi Ilija Bogunovic Carsten Gerner-Beuerle Miguel R. D. Rodrigues AAML 220 2 0 04 Feb 2024
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness Yifan Hao Tong Zhang AAML 427 5 0 19 Jan 2024
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Ruotong Wang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 286 21 0 13 Dec 2023
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Prakhar Ganesh 178 7 0 24 Nov 2023
Understanding and Improving Ensemble Adversarial DefenseNeural Information Processing Systems (NeurIPS), 2023 Yian Deng Tingting Mu AAML 265 28 0 27 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial AttacksInternational Conference on Learning Representations (ICLR), 2023 Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing Guo AAML 233 4 0 18 Oct 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight AveragingIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Yang Liu YueFeng Chen Xiaofeng Mao Ranjie Duan Jindong Gu Rong Zhang H. Xue Xiaochun Cao AAML 193 13 0 22 Aug 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 189 8 0 13 Aug 2023
Understanding Certified Training with Interval Bound PropagationInternational Conference on Learning Representations (ICLR), 2023 Yuhao Mao Mark Niklas Muller Marc Fischer Martin Vechev AAML 249 22 0 17 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 198 0 0 13 Jun 2023
Benign Overfitting in Deep Neural Networks under Lazy TrainingInternational Conference on Machine Learning (ICML), 2023 Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Francesco Locatello Volkan Cevher AI4CE 188 12 0 30 May 2023
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial AttacksIEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2023 Wen-Xi Tan Justus Renkhoff Alvaro Velasquez Ziyu Wang Lu Li Jian Wang Shuteng Niu Fan Yang Yongxin Liu Haoze Song AAML 166 8 0 09 Mar 2023
Exploring Adversarial Attacks on Neural Networks: An Explainable ApproachIEEE International Performance, Computing, and Communications Conference (IPCCC), 2022 Justus Renkhoff Wenkai Tan Alvaro Velasquez William Yichen Wang Yongxin Liu Jian Wang Shuteng Niu Lejla Begic Fazlic Guido Dartmann Haoze Song AAML 161 7 0 08 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 139 2 0 05 Mar 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat ModelsNeural Information Processing Systems (NeurIPS), 2023 Naman D. Singh Francesco Croce Matthias Hein OOD 310 91 0 03 Mar 2023
MultiRobustBench: Benchmarking Robustness Against Multiple AttacksInternational Conference on Machine Learning (ICML), 2023 Sihui Dai Saeed Mahloujifar Chong Xiang Vikash Sehwag Pin-Yu Chen Prateek Mittal AAML OOD 254 9 0 21 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification Omid Nejati Manzari Hamid Ahmadabadi Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi ViT MedIm 239 303 0 19 Feb 2023
WAT: Improve the Worst-class Robustness in Adversarial TrainingAAAI Conference on Artificial Intelligence (AAAI), 2023 Boqi Li Weiwei Liu OOD AAML 174 32 0 08 Feb 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent KernelsInternational Conference on Machine Learning (ICML), 2023 Simone Bombari Shayan Kiyani Marco Mondelli AAML 411 11 0 03 Feb 2023
Robust Transformer with Locality Inductive Bias and Feature NormalizationEngineering Science and Technology, an International Journal (JEST), 2023 Omid Nejati Manzari Hossein Kashiani Hojat Asgarian Dehkordi S. B. Shokouhi ViT 173 19 0 27 Jan 2023
RobArch: Designing Robust Architectures against Adversarial Attacks Sheng-Hsuan Peng Weilin Xu Cory Cornelius Kevin Wenliang Li Rahul Duggal Duen Horng Chau Jason Martin AAML 170 8 0 08 Jan 2023
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial DetectionVISIGRAPP (VISIGRAPP), 2022 P. Lorenz Margret Keuper J. Keuper AAML 348 7 0 13 Dec 2022
DISCO: Adversarial Defense with Local Implicit FunctionsNeural Information Processing Systems (NeurIPS), 2022 Chih-Hui Ho Nuno Vasconcelos AAML 389 51 0 11 Dec 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 132 3 0 04 Nov 2022
Chaos Theory and Adversarial Robustness Jonathan S. Kent AAML 183 1 0 20 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022 Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 309 23 0 17 Oct 2022
A Large-scale Multiple-objective Method for Black-box Attack against Object DetectionEuropean Conference on Computer Vision (ECCV), 2022 Yaning Tan Longkang Li Yanbo Fan Yang Liu Jingzhi Li Baoyuan Wu Xiaochun Cao AAML 161 51 0 16 Sep 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 232 81 0 15 Sep 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)Neural Information Processing Systems (NeurIPS), 2022 Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Volkan Cevher 278 23 0 15 Sep 2022
Bag of Tricks for FGSM Adversarial Training Zichao Li Li Liu Zeyu Wang Yuyin Zhou Cihang Xie AAML 129 6 0 06 Sep 2022
One-shot Neural Backdoor Erasing via Adversarial Weight MaskingNeural Information Processing Systems (NeurIPS), 2022 Shuwen Chai Jinghui Chen AAML 210 43 0 10 Jul 2022