Title
Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Adversarial Scheduling Jonas Ngnawé M. Heuillet Sabyasachi Sahoo Y. Pequignot Ola Ahmad Audrey Durand Frédéric Precioso Christian Gagné AAML 8 0 0 27 Sep 2025
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Wild Refitting for Model-Free Excess Risk Evaluation of Opaque Machine Learning Models under Bregman Loss Haichen Hu David Simchi-Levi 73 0 0 02 Sep 2025
Robustness Feature Adapter for Efficient Adversarial Training Quanwei Wu Jun Guo Wei Wang Yi Alice Wang AAML 15 0 0 25 Aug 2025
An Investigation of Visual Foundation Models Robustness Sandeep Gupta Roberto Passerone AAML 40 0 0 22 Aug 2025
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Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance Lorenzo Tausani P. Muratore Morgan B. Talbot Giacomo Amerio Gabriel Kreiman D. Zoccolan AAML 83 0 0 20 Jun 2025
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 218 0 0 20 May 2025
Explainable AI the Latest Advancements and New Trends Bowen Long Enjie Liu Renxi Qiu Yanqing Duan XAI 397 1 0 11 May 2025
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction Farhad Pourkamali-Anaraki 396 0 0 24 Apr 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 115 0 0 23 Apr 2025
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift Jiongchi Yu Xiaofei Xie Q. Hu Bowen Zhang Ziming Zhao Yun Lin Lei Ma Ruitao Feng Frank Liau 231 1 0 12 Apr 2025
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset Shiao Wang Xinyu Wang Bo Jiang Lin Zhu G. Li Longji Xu Yonghong Tian Jin Tang 512 0 0 08 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 167 0 0 07 Apr 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent Philip Doldo Derek Everett Amol Khanna A. Nguyen Edward Raff AAML 167 1 0 25 Mar 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models? Robin Hesse Doğukan Bağcı Bernt Schiele Simone Schaub-Meyer Stefan Roth VLM 173 0 0 21 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 160 4 0 12 Mar 2025
MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image Shaoming Li Qing Cai Songqi Kong Runqing Tan Heng Tong Shiji Qiu Yongguo Jiang Ziqiang Liu 3DV 3DPC 116 0 0 28 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen Jiafeng Guo Xueqi Cheng BDL VLM 218 4 0 25 Feb 2025
Trading Inference-Time Compute for Adversarial Robustness Wojciech Zaremba Evgenia Nitishinskaya Boaz Barak Stephanie Lin Sam Toyer ... Rachel Dias Eric Wallace Kai Y. Xiao Johannes Heidecke Amelia Glaese LRM AAML 228 44 0 31 Jan 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 192 1 0 31 Dec 2024
The Superalignment of Superhuman Intelligence with Large Language Models Minlie Huang Yingkang Wang Shiyao Cui Pei Ke J. Tang 263 1 0 15 Dec 2024
Brain-like emergent properties in deep networks: impact of network architecture, datasets and training Niranjan Rajesh Georgin Jacob SP Arun OOD 167 1 0 25 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Jiabo He AAML 301 1 0 20 Nov 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks Emanuele Ledda Giovanni Scodeller Daniele Angioni Giorgio Piras Antonio Emanuele Cinà Giorgio Fumera Battista Biggio Fabio Roli AAML 190 1 0 29 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 140 5 0 19 Oct 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 117 2 0 16 Oct 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 118 1 0 30 Sep 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks Keiichiro Yamamura Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 116 0 0 07 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 306 16 0 01 Aug 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 127 5 0 15 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks Raffaele Mura Giuseppe Floris Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Giorgio Giacinto Battista Biggio Fabio Roli AAML 134 1 0 11 Jul 2024
MALT Powers Up Adversarial Attacks Odelia Melamed Gilad Yehudai Adi Shamir AAML 124 0 0 02 Jul 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee 106 3 0 28 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 340 1 0 21 Jun 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification Sajjad Amini Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr OOD AAML 142 14 0 09 Jun 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 126 2 0 24 May 2024
Can Biases in ImageNet Models Explain Generalization? Paul Gavrikov J. Keuper OOD VLM 89 18 0 01 Apr 2024
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance Huakun Shen Boyue Caroline Hu Krzysztof Czarnecki Lina Marsso Marsha Chechik 167 1 0 29 Feb 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates Daniele Angioni Christian Scano Maura Pintor Luca Oneto Davide Anguita Battista Biggio Fabio Roli AAML 201 4 0 27 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 144 7 0 11 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 167 13 0 03 Feb 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 281 1 0 12 Jan 2024
Revisiting Adversarial Training at Scale Zeyu Wang Xianhang Li Hongru Zhu Cihang Xie 195 22 0 09 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 213 13 0 28 Dec 2023
Initialization Matters for Adversarial Transfer Learning Andong Hua Jindong Gu Zhiyu Xue Nicholas Carlini Eric Wong Yao Qin AAML 126 11 0 10 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 209 3 0 08 Dec 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 90 0 0 28 Nov 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Yaoyao Liu Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 136 11 0 27 Nov 2023