Stochastic Activation Pruning for Robust Adversarial Defense

5 March 2018

Guneet Singh Dhillon

Kamyar Azizzadenesheli

Papers citing "Stochastic Activation Pruning for Robust Adversarial Defense"

50 / 322 papers shown

Title
TopoReformer: Mitigating Adversarial Attacks Using Topological Purification in OCR Models Bhagyesh Kumar A S Aravinthakashan Akshat Satyanarayan Ishaan Gakhar Ujjwal Verma AAML 72 0 0 19 Nov 2025
DeepDefense: Layer-Wise Gradient-Feature Alignment for Building Robust Neural Networks Ci Lin T. Yeap I. Kiringa Biwei Zhang AAML 54 0 0 13 Nov 2025
SMiLE: Provably Enforcing Global Relational Properties in Neural Networks Matteo Francobaldi Michele Lombardi Andrea Lodi NAI AAML 111 0 0 10 Nov 2025
Zero-Shot Robustness of Vision Language Models Via Confidence-Aware Weighting Nikoo Naghavian Mostafa Tavassolipour AAML VLM 104 0 0 03 Oct 2025
Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles Dong Lao Yuxiang Zhang Haniyeh Ehsani Oskouie Yangchao Wu Alex Wong Stefano Soatto AAML 72 0 0 03 Oct 2025
Universal Properties of Activation Sparsity in Modern Large Language Models Filip Szatkowski Patryk Bedkowski Alessio Devoto Jan Dubiñski Pasquale Minervini Mikołaj Piórczyński Simone Scardapane Bartosz Wójcik 126 1 0 30 Aug 2025
Pruning Strategies for Backdoor Defense in LLMs Santosh Chapagain S. M. Hamdi S. F. Boubrahimi AAML 68 3 0 27 Aug 2025
Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers Lucas Gnecco-Heredia Benjamin Négrevergne Y. Chevaleyre AAML 209 0 0 12 Jun 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 170 1 0 07 Apr 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 497 4 0 27 Mar 2025
AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses Nicholas Carlini Javier Rando Edoardo Debenedetti Milad Nasr F. Tramèr AAML ELM 180 8 0 03 Mar 2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 171 0 0 31 Dec 2024
FlexLLM: Exploring LLM Customization for Moving Target Defense on Black-Box LLMs Against Jailbreak Attacks Bocheng Chen Hanqing Guo Qiben Yan AAML 199 3 0 10 Dec 2024
SMLE: Safe Machine Learning via Embedded OverapproximationAAAI Conference on Artificial Intelligence (AAAI), 2024 Matteo Francobaldi Michele Lombardi AAML 97 1 0 30 Sep 2024
MASKDROID: Robust Android Malware Detection with Masked Graph RepresentationsInternational Conference on Automated Software Engineering (ASE), 2024 Jingnan Zheng Jiaohao Liu An Zhang Jun Zeng Ziqi Yang Zhenkai Liang Tat-Seng Chua AAML 133 5 0 29 Sep 2024
Proactive Schemes: A Survey of Adversarial Attacks for Social Good Vishal Asnani Xi Yin Xiaoming Liu AAML 345 1 0 24 Sep 2024
First line of defense: A robust first layer mitigates adversarial attacksAAAI Conference on Artificial Intelligence (AAAI), 2024 Janani Suresh Nancy Nayak Sheetal Kalyani AAML 163 1 0 21 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial PurificationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024 Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 163 3 0 20 Aug 2024
A Multi-task Adversarial Attack Against Face Authentication Hanrui Wang Shuo Wang Cunjian Chen Massimo Tistarelli Zhe Jin CVBM AAML 199 9 0 15 Aug 2024
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking Yunpeng Gong Chuangliang Zhang Yongjie Hou Lifei Chen Min Jiang AAML 113 22 0 18 Jul 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli Priyam Dey R. Venkatesh Babu 207 2 0 09 Jun 2024
Certifying Global Robustness for Deep Neural Networks You Li Guannan Zhao Shuyu Kong Yunqi He Hai Zhou AAML 113 1 0 31 May 2024
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World Wen Yin Jian Lou Pan Zhou Yulai Xie Dan Feng Yuhua Sun Tailai Zhang Lichao Sun AAML 119 11 0 30 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 251 4 0 12 Apr 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 291 0 0 12 Feb 2024
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons Zhenyu Liu Garrett Gagnon Swagath Venkataramani Liu Liu AAML 205 2 0 06 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen Zhihang Fu Kai-Chun Liu Ze Chen Mingyuan Tao Jieping Ye OODD 181 6 0 04 Feb 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 204 2 0 05 Jan 2024
Adversarial Medical Image with Hierarchical Feature HidingIEEE Transactions on Medical Imaging (TMI), 2023 Qingsong Yao Zecheng He Yuexiang Li Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou MedIm AAML 226 8 0 04 Dec 2023
Topology-Preserving Adversarial Training Xiaoyue Mi Fan Tang Yepeng Weng Danding Wang Juan Cao Sheng Tang Peng Li Yang Liu 218 1 0 29 Nov 2023
Improving the Robustness of Transformer-based Large Language Models with Dynamic AttentionNetwork and Distributed System Security Symposium (NDSS), 2023 Lujia Shen Yuwen Pu R. Beyah Changjiang Li Xuhong Zhang Chunpeng Ge Ting Wang AAML 135 10 0 29 Nov 2023
Adversarial Purification of Information Masking Sitong Liu Z. Lian Shuangquan Zhang Liang Xiao AAML 162 1 0 26 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse RepresentationsIEEE Open Journal of Signal Processing (IEEE Open J. Signal Process.), 2023 Dana Weitzner Raja Giryes AAML 238 0 0 14 Nov 2023
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic PerspectiveInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Bhagyashree Puranik Ahmad Beirami Yao Qin Upamanyu Madhow AAML 265 0 0 02 Nov 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling SubnetworksIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Yang Liu Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 176 13 0 24 Oct 2023
Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks Huihui Gong Minjing Dong Siqi Ma S. Çamtepe Surya Nepal Chang Xu AAML OOD 154 1 0 28 Sep 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li Soheil Feizi Himabindu Lakkaraju AAML 586 259 0 06 Sep 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain PromptingIEEE International Conference on Computer Vision (ICCV), 2023 Qidong Huang Xiaoyi Dong DongDong Chen Yinpeng Chen Lu Yuan Gang Hua Weiming Zhang Neng H. Yu AAML 262 11 0 20 Aug 2023
Co(ve)rtex: ML Models as storage channels and their (mis-)applications Md Abdullah Al Mamun Quazi Mishkatul Alam Erfan Shayegani Pedram Zaree Ihsen Alouani Nael B. Abu-Ghazaleh 253 0 0 17 Jul 2023
Multi-objective Evolutionary Search of Variable-length Composite Semantic PerturbationsInformation Sciences (Inf. Sci.), 2023 Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 151 0 0 13 Jul 2023
ATWM: Defense against adversarial malware based on adversarial training Kunkun Li Fan Zhang Wei Guo AAML 120 1 0 11 Jul 2023
Towards Optimal Randomized Strategies in Adversarial Example GameAAAI Conference on Artificial Intelligence (AAAI), 2023 Jiahao Xie Chao Zhang Weijie Liu Wensong Bai Hui Qian AAML 122 0 0 29 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Hong Joo Lee Yonghyun Ro AAML 124 4 0 27 Jun 2023
A Simple and Effective Pruning Approach for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Mingjie Sun Zhuang Liu Anna Bair J. Zico Kolter 433 625 0 20 Jun 2023
On Achieving Optimal Adversarial Test ErrorInternational Conference on Learning Representations (ICLR), 2023 Justin D. Li Matus Telgarsky AAML 234 2 0 13 Jun 2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 104 6 0 10 Jun 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable ConfidenceConference on Computer and Communications Security (CCS), 2023 Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 208 6 0 10 Apr 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 103 0 0 29 Mar 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan Soheil Feizi OOD AAML AI4TS 169 1 0 28 Mar 2023
Improving the Transferability of Adversarial Examples via Direction TuningInformation Sciences (Inf. Sci.), 2023 Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 193 15 0 27 Mar 2023