Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

3 March 2020

Matthias Hein

Papers citing "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

50 / 339 papers shown

Title
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification Dongyoon Yang Jihu Lee Yongdai Kim 29 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 44 0 0 08 May 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Q. Huang DiffM 40 0 0 02 May 2025
Diffusion-Driven Universal Model Inversion Attack for Face Recognition H. Wang Shuo Wang Chun-Shien Lu Isao Echizen 87 0 0 25 Apr 2025
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models Patrick Müller Alexander Braun M. Keuper 54 0 0 25 Apr 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos Songping Wang Hanqing Liu Yueming Lyu Xiantao Hu Ziwen He W. Wang Caifeng Shan L. Wang AAML 91 0 0 21 Apr 2025
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks Jing Chen Onat Gungor Zhengli Shang Elvin Li T. Rosing AAML 42 0 0 17 Apr 2025
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models Yoojin Jung Byung Cheol Song AAML VLM MQ 36 0 0 07 Apr 2025
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models X. Jia Sensen Gao Simeng Qin Ke Ma X. Li Yihao Huang Wei Dong Yang Liu Xiaochun Cao AAML VLM 60 0 0 17 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 34 0 0 14 Mar 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs Amira Guesmi B. Ouni Muhammad Shafique MQ AAML 36 0 0 10 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 173 0 0 09 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 50 0 0 02 Mar 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 206 0 0 27 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen J. Guo Xueqi Cheng BDL VLM 52 1 0 25 Feb 2025
Single-pass Detection of Jailbreaking Input in Large Language Models Leyla Naz Candogan Yongtao Wu Elias Abad Rocamora Grigorios G. Chrysos V. Cevher AAML 51 0 0 24 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play Ching-Chun Chang Fan-Yun Chen Shih-Hong Gu Kai Gao Hanrui Wang Isao Echizen AAML 151 0 0 31 Jan 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection Hossein Mirzaei Mohammad Jafari Hamid Reza Dehbashi Zeinab Sadat Taghavi Mohammad Sabokrou M. Rohban 69 1 0 28 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 107 0 0 20 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 138 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 175 0 0 17 Jan 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 45 0 0 13 Jan 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 37 0 0 31 Dec 2024
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 43 0 0 31 Dec 2024
Adversarial Prompt Distillation for Vision-Language Models Lin Luo Xin Wang Bojia Zi Shihao Zhao Xingjun Ma Yu-Gang Jiang AAML VLM 79 1 0 22 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 72 1 0 20 Nov 2024
Adversarial Detection with a Dynamically Stable System Xiaowei Long Jie Lin Xiangyuan Yang AAML 36 0 0 11 Nov 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 38 3 0 30 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 56 0 0 07 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 33 1 0 02 Oct 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training Jinpeng Lin Xulei Yang Tianrui Li Xun Xu 3DPC 33 0 0 23 Sep 2024
A Cost-Aware Approach to Adversarial Robustness in Neural Networks Charles Meyers Mohammad Reza Saleh Sedghpour Tommy Löfstedt Erik Elmroth OOD AAML 33 0 0 11 Sep 2024
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks Md Zarif Hossain Ahmed Imteaj AAML VLM 40 3 0 11 Sep 2024
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge Hyejin Park Dongbo Min AAML 34 2 0 03 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 56 6 0 25 Aug 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization Pucheng Dang Xing Hu Dong Li Rui Zhang Qi Guo Kaidi Xu DiffM 36 5 0 18 Aug 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 51 0 0 16 Aug 2024
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning Xin Wang Kai-xiang Chen Xingjun Ma Zhineng Chen Jingjing Chen Yu-Gang Jiang AAML 38 3 0 04 Aug 2024
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Alexander Gushchin Khaled Abud Georgii Bychkov E. Shumitskaya Anna Chistyakova Sergey Lavrushkin Bader Rasheed Kirill Malyshev D. Vatolin Anastasia Antsiferova AAML 46 2 0 02 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 58 7 0 01 Aug 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 60 4 0 30 Jul 2024
Adversarial Robustification via Text-to-Image Diffusion Models Daewon Choi Jongheon Jeong Huiwon Jang Jinwoo Shin DiffM 39 1 0 26 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition Xiao-Li Li Yining Liu Na Dong Sitian Qin Xiaolin Hu 36 3 0 15 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 59 0 0 04 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 39 0 0 26 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization Zhaozhe Hu Jia-Li Yin Bin Chen Luojun Lin Bo-Hao Chen Ximeng Liu AAML 28 0 0 20 Jun 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness Kejia Zhang Juanjuan Weng Junwei Wu Guoqing Yang Shaozi Li Zhiming Luo AAML 43 1 0 17 Jun 2024
Improving Adversarial Robustness via Decoupled Visual Representation Masking Decheng Liu Tao Chen Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao AAML 42 1 0 16 Jun 2024