Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

7 October 2021

Quanquan Gu

Papers citing "Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks"

50 / 69 papers shown

Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 32 0 0 08 May 2025
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 39 0 0 30 Mar 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Victoria Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 36 0 0 13 Jan 2025
Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation Lars Nieradzik Henrike Stephani Janis Keuper FAtt AAML 28 0 0 07 Sep 2024
First line of defense: A robust first layer mitigates adversarial attacks Janani Suresh Nancy Nayak Sheetal Kalyani AAML 17 0 0 21 Aug 2024
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution J. Reif Jiakang Li Songning Lai Alexander Fay AAML 24 0 0 18 Jul 2024
Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE Inês Valentim Nuno Antunes Nuno Lourenço AAML 33 1 0 20 Jun 2024
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis Zhang Chen Luca Demetrio Srishti Gupta Xiaoyi Feng Zhaoqiang Xia ... Maura Pintor Luca Oneto Ambra Demontis Battista Biggio Fabio Roli AAML 18 1 0 14 Jun 2024
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness Dingrong Wang Hitesh Sapkota Zhiqiang Tao Qi Yu AAML 21 1 0 10 Jun 2024
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations Davide Coppola Hwee Kuan Lee AAML 34 0 0 31 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 19 1 0 09 May 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 37 0 0 09 Apr 2024
Robust NAS under adversarial training: benchmark, theory, and beyond Yongtao Wu Fanghui Liu Carl-Johann Simon-Gabriel Grigorios G. Chrysos V. Cevher AAML OOD 21 3 0 19 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 18 2 0 08 Mar 2024
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons Zhenyu Liu Garrett Gagnon Swagath Venkataramani Liu Liu AAML 14 0 0 06 Feb 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training Shruthi Gowda Bahram Zonooz Elahe Arani AAML 11 2 0 26 Jan 2024
The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness Yifan Hao Tong Zhang AAML 11 4 0 19 Jan 2024
Dense Hopfield Networks in the Teacher-Student Setting Robin Thériault Daniele Tantari AAML 17 3 0 08 Jan 2024
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Mingda Zhang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 17 14 0 13 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 15 1 0 03 Dec 2023
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise Yixin Liu Kaidi Xu Xun Chen Lichao Sun 11 7 0 22 Nov 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing-Wu Guo AAML 8 2 0 18 Oct 2023
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias Hao Cheng Jinhao Duan Hui Li Lyutianyang Zhang Jiahang Cao Ping Wang Jize Zhang Kaidi Xu Renjing Xu AAML 11 2 0 23 Sep 2023
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs Sheng-Hsuan Peng Weilin Xu Cory Cornelius Matthew Hull Kevin Li Rahul Duggal Mansi Phute Jason Martin Duen Horng Chau AAML 11 46 0 30 Aug 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 17 5 0 13 Aug 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 14 1 0 29 Jun 2023
Benign Overfitting in Deep Neural Networks under Lazy Training Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Francesco Locatello V. Cevher AI4CE 8 6 0 30 May 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu Yi Tian Xu Xiangyang Ji Antoni B. Chan AAML 8 17 0 20 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification M. Lee Dongwoo Kim 26 52 0 16 Mar 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models Naman D. Singh Francesco Croce Matthias Hein OOD 24 62 0 03 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 13 72 0 28 Feb 2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? Ruisi Cai Zhenyu (Allen) Zhang Zhangyang Wang AAML OOD 12 12 0 24 Feb 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks Sihui Dai Saeed Mahloujifar Chong Xiang Vikash Sehwag Pin-Yu Chen Prateek Mittal AAML OOD 6 7 0 21 Feb 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels Simone Bombari Shayan Kiyani Marco Mondelli AAML 6 10 0 03 Feb 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation Utkarsh Nath Yancheng Wang Yingzhen Yang AAML 6 2 0 19 Jan 2023
RobArch: Designing Robust Architectures against Adversarial Attacks Sheng-Hsuan Peng Weilin Xu Cory Cornelius Kevin Li Rahul Duggal Duen Horng Chau Jason Martin AAML 6 5 0 08 Jan 2023
Differentiable Search of Accurate and Robust Architectures Yuwei Ou Xiangning Xie Shan Gao Yanan Sun Kay Chen Tan Jiancheng Lv OOD AAML 21 1 0 28 Dec 2022
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective Shihua Huang Zhichao Lu Kalyanmoy Deb Vishnu Naresh Boddeti OOD 11 39 0 21 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 20 5 0 15 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 13 38 0 11 Dec 2022
Chaos Theory and Adversarial Robustness Jonathan S. Kent AAML 6 0 0 20 Oct 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper M. Keuper AAML 6 24 0 12 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization Ziquan Liu Antoni B. Chan AAML 14 5 0 11 Oct 2022
Exploring the Relationship between Architecture and Adversarially Robust Generalization Aishan Liu Shiyu Tang Siyuan Liang Ruihao Gong Boxi Wu Xianglong Liu Dacheng Tao AAML 13 18 0 28 Sep 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 11 68 0 15 Sep 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos V. Cevher 22 19 0 15 Sep 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 11 7 0 12 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 27 5 0 08 Jul 2022
Understanding Robust Learning through the Lens of Representation Similarities Christian Cianfarani A. Bhagoji Vikash Sehwag Ben Y. Zhao Prateek Mittal Haitao Zheng OOD 11 16 0 20 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 6 14 0 20 Jun 2022