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Disentangling Adversarial Robustness and Generalization

3 December 2018

David Stutz

Matthias Hein

Bernt Schiele

AAML

OOD

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Papers citing "Disentangling Adversarial Robustness and Generalization"

50 / 180 papers shown

Title
Generalizability vs. Counterfactual Explainability Trade-Off Fabiano Veglianti Flavio Giorgi Fabrizio Silvestri Gabriele Tolomei 47 0 0 29 May 2025
Geometrically Regularized Transfer Learning with On-Manifold and Off-Manifold Perturbation Hana Satou Alan Mitkiy F Monkey AAML 54 0 0 21 May 2025
GAMA++: Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer Kim Yun Hana Satou F Monkey 63 0 0 21 May 2025
GAMA: Geometry-Aware Manifold Alignment via Structured Adversarial Perturbations for Robust Domain Adaptation Hana Satou F Monkey 70 0 0 21 May 2025
Black-box Adversaries from Latent Space: Unnoticeable Attacks on Human Pose and Shape Estimation Zhiying Li Guanggang Geng Yeying Jin Zhizhi Guo Bruce Gu Jidong Huo Zhaoxin Fan Wenjun Wu AAML 66 0 0 17 May 2025
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations Ahod Alghuried Ali Alkinoon Abdulaziz Alghamdi Soohyeon Choi Manar Mohaisen David A. Mohaisen AAML 67 0 0 24 Apr 2025
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models H. Malik Fahad Shamshad Muzammal Naseer Karthik Nandakumar Fahad Shahbaz Khan Salman Khan AAML MLLM VLM 134 1 0 03 Feb 2025
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context Jing Wang Wonho Bae Jiahong Chen Kuangen Zhang Leonid Sigal C. D. Silva 153 1 0 18 Dec 2024
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey Hong-Hanh Nguyen-Le Van-Tuan Tran Dinh-Thuc Nguyen Nhien-An Le-Khac AAML 185 2 0 26 Nov 2024
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models Xin Wang Kai-xiang Chen Jiaming Zhang Jingjing Chen Xingjun Ma AAML VPVLM VLM 143 3 0 20 Nov 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 68 0 0 21 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 61 0 0 10 Oct 2024
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility Rajdeep Haldar Yue Xing Qifan Song Guang Lin 50 0 0 09 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou Yaoxin Wu Zhiguang Cao Wen Song Jie Zhang Zhiqi Shen AAML 79 3 0 07 Oct 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects Sabrine Ennaji Fabio De Gaspari Dorjan Hitaj Alicia Kbidi Luigi V. Mancini AAML 97 0 0 27 Sep 2024
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries Amine Ouasfi A. Boukhayma 75 4 0 27 Aug 2024
Deep Learning with Data Privacy via Residual Perturbation Wenqi Tao Huaming Ling Zuoqiang Shi Bao Wang 73 2 0 11 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 173 12 0 01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 104 1 0 31 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 59 5 0 08 Jul 2024
MALT Powers Up Adversarial Attacks Odelia Melamed Gilad Yehudai Adi Shamir AAML 49 0 0 02 Jul 2024
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification Joshua Niemeijer J. Ehrhardt H. Uzunova Heinz Handels OOD DiffM MedIm 100 0 0 25 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain Jun Liu Jiantao Zhou Jiandian Zeng Jinyu Tian Zheng Li 82 0 0 05 Jun 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 97 5 0 30 May 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 110 0 0 25 May 2024
Evaluating Adversarial Robustness in the Spatial Frequency Domain Keng-Hsin Liao Chin-Yuan Yeh Hsi-Wen Chen Ming-Syan Chen 69 0 0 10 May 2024
Can Biases in ImageNet Models Explain Generalization? Paul Gavrikov J. Keuper OOD VLM 60 15 0 01 Apr 2024
Towards Non-Adversarial Algorithmic Recourse Tobias Leemann Martin Pawelczyk Bardh Prenkaj Gjergji Kasneci AAML 81 2 0 15 Mar 2024
How Robust Are Energy-Based Models Trained With Equilibrium Propagation? Siddharth Mansingh Michal Kucer Garrett Kenyon Juston S. Moore Michael Teti AAML 105 1 0 21 Jan 2024
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World Zheng Zhou Hong Zhao Ju Liu Qiaosheng Zhang Liwei Geng Shuchang Lyu W. Feng AAML 76 2 0 29 Dec 2023
Group-wise Sparse and Explainable Adversarial Attacks Shpresim Sadiku Moritz Wagner Sebastian Pokutta AAML 41 1 0 29 Nov 2023
On robust overfitting: adversarial training induced distribution matters Runzhi Tian Yongyi Mao OOD 81 1 0 28 Nov 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Alan Yuille Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 95 7 0 27 Nov 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 86 0 0 21 Oct 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks Ofir Bar Tal Adi Haviv Amit H. Bermano AAML 79 0 0 05 Oct 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 100 8 0 28 Sep 2023
On the Computational Entanglement of Distant Features in Adversarial Machine Learning Yen-Lung Lai Xingbo Dong Zhe Jin AAML 73 0 0 27 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki Shin'ya Yamaguchi Shoichiro Takeda Sekitoshi Kanai Naoki Makishima Atsushi Ando Ryo Masumura AAML 91 5 0 31 Aug 2023
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 70 4 0 29 Aug 2023
On-Manifold Projected Gradient Descent Aaron Mahler Tyrus Berry Thomas Stephens Harbir Antil Michael Merritt Jeanie Schreiber Ioannis G. Kevrekidis AAML 82 0 0 23 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 61 26 0 13 Aug 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng Tejas Gokhale Yezhou Yang OOD 67 16 0 18 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 135 24 0 15 Jul 2023
Post-train Black-box Defense via Bayesian Boundary Correction He Wang Yunfeng Diao AAML 85 1 0 29 Jun 2023
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation Shiji Zhao Xizhe Wang Xingxing Wei AAML 89 11 0 28 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani Volkan Cevher AAML 158 13 0 19 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters Xingxing Wei Shiji Zhao Bo li AAML 115 7 0 06 Jun 2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Drew Linsley Pinyuan Feng Thibaut Boissin A. Ashok Thomas Fel Stephanie Olaiya Thomas Serre AAML 78 6 0 05 Jun 2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection Jiang-Long Liu Chun Pong Lau Ramalingam Chellappa DiffM 76 32 0 23 May 2023
Attribute-Guided Encryption with Facial Texture Masking Chun Pong Lau Jiang-Long Liu Ramalingam Chellappa PICV AAML 77 3 0 22 May 2023