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Efficient Defenses Against Adversarial Attacks

21 July 2017

Valentina Zantedeschi

Papers citing "Efficient Defenses Against Adversarial Attacks"

50 / 151 papers shown

Title
SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networksJournal of Information Security and Applications (JISA), 2025 T. Yasarathna Nhien-An Le-Khac AAML 20 0 0 30 Sep 2025
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks Jing Chen Onat Gungor Zhengli Shang T. Rosing AAML 33 0 0 09 Sep 2025
Label Smoothing is a Pragmatic Information Bottleneck Sota Kudo 39 0 0 12 Aug 2025
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems Cheng Chen Yuhong Wang Nafis S Munir Xiangwei Zhou Xugui Zhou AAML 142 2 0 14 May 2025
ChainMarks: Securing DNN Watermark with Cryptographic ChainACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025 Brian Choi Shu Wang Isabelle Choi Kun Sun 195 0 0 08 May 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 135 3 0 17 Apr 2025
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 166 3 0 05 Nov 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 133 1 0 29 Oct 2024
Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full Version)Conference on Computer and Communications Security (CCS), 2024 Jonathan Knauer Phillip Rieger Hossein Fereidooni A. Sadeghi AAML 125 0 0 02 Sep 2024
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking Yunpeng Gong Chuangliang Zhang Yongjie Hou Lifei Chen Min Jiang AAML 93 20 0 18 Jul 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification Sajjad Amini Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr OOD AAML 186 17 0 09 Jun 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 190 6 0 22 Jan 2024
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization Yuzhe You Jarvis Tse Jian Zhao AAML 86 3 0 22 Nov 2023
Robustness Enhancement in Neural Networks with Alpha-Stable Training Noise Xueqiong Yuan Jipeng Li E. Kuruoglu OOD 96 4 0 17 Nov 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 200 0 0 21 Oct 2023
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection SystemComputer Communications (Comput. Commun.), 2023 Khushnaseeb Roshan Aasim Zafar Sheikh Burhan Ul Haque AAML 208 53 0 05 Oct 2023
Privacy-preserving and Privacy-attacking Approaches for Speech and Audio -- A Survey Yuchen Liu Apu Kapadia Donald Williamson AAML 129 1 0 26 Sep 2023
One-stage Modality Distillation for Incomplete Multimodal Learning Shicai Wei Yang Luo Chunbo Luo 127 1 0 15 Sep 2023
Towards Robust Model Watermark via Reducing Parametric VulnerabilityIEEE International Conference on Computer Vision (ICCV), 2023 Guanhao Gan Yiming Li Dongxian Wu Shu-Tao Xia AAML 111 18 0 09 Sep 2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security AnalysisConference on Computer and Communications Security (CCS), 2023 Yiling He Jian Lou Zhan Qin Kui Ren FAtt AAML 102 12 0 10 Aug 2023
Learning Provably Robust Estimators for Inverse Problems via JitteringNeural Information Processing Systems (NeurIPS), 2023 Anselm Krainovic Mahdi Soltanolkotabi Reinhard Heckel OOD 78 9 0 24 Jul 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & DefensesIEEE Access (IEEE Access), 2023 Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 174 91 0 18 May 2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers Hugo Lemarchant Liang Li Yiming Qian Yuta Nakashima Hajime Nagahara ViT AAML 140 0 0 31 Jan 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and FairnessAPSIPA Transactions on Signal and Information Processing (TASIP), 2022 Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 152 36 0 18 Dec 2022
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Zhenchao Jin Dongdong Yu Zehuan Yuan Lequan Yu 241 23 0 09 Sep 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 177 22 0 07 Sep 2022
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEsIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Prashant Pandey Mustafa Chasmai Tanuj Sur Brejesh Lall 203 13 0 26 Aug 2022
Hessian-Free Second-Order Adversarial Examples for Adversarial Learning Yaguan Qian Yu-qun Wang Bin Wang Zhaoquan Gu Yu-Shuang Guo Wassim Swaileh AAML 150 3 0 04 Jul 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML OODD 60 3 0 15 Jun 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN ModelsConference on Computer and Communications Security (CCS), 2022 Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 115 13 0 21 May 2022
When adversarial examples are excusable Pieter-Jan Kindermans Charles Staats AAML 76 0 0 25 Apr 2022
Improving Neural ODEs via Knowledge DistillationIET Computer Vision (ICV), 2022 Haoyu Chu Shikui Wei Qiming Lu Yao-Min Zhao 65 2 0 10 Mar 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 89 4 0 18 Feb 2022
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder Eashan Adhikarla Danni Luo Brian D. Davison AAML 62 2 0 05 Feb 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)Journal of Network and Computer Applications (JNCA), 2022 Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 165 17 0 16 Jan 2022
Subspace Adversarial Training Tao Li Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML OOD 153 64 0 24 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 138 78 0 18 Nov 2021
Parameterizing Activation Functions for Adversarial Robustness Sihui Dai Saeed Mahloujifar Prateek Mittal AAML 128 33 0 11 Oct 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future PotentialsAutomation in Construction (AC), 2021 Newsha Emaminejad Reza Akhavian 109 58 0 27 Sep 2021
Morphence: Moving Target Defense Against Adversarial ExamplesAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021 Abderrahmen Amich Birhanu Eshete AAML 150 25 0 31 Aug 2021
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)IEEE Symposium on Security and Privacy (IEEE S&P), 2021 Nils Lukas Edward Jiang Xinda Li Florian Kerschbaum AAML 145 104 0 11 Aug 2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Anouar Kherchouche Sid Ahmed Fezza W. Hamidouche AAML 104 11 0 12 Jul 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 71 32 0 30 Jun 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 64 3 0 25 Jun 2021
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 97 12 0 14 Jun 2021
Biometrics: Trust, but VerifyIEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2021 Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 169 95 0 14 May 2021
Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum Tian-zhou Li AAML 53 1 0 10 May 2021
Relating Adversarially Robust Generalization to Flat MinimaIEEE International Conference on Computer Vision (ICCV), 2021 David Stutz Matthias Hein Bernt Schiele OOD 169 74 0 09 Apr 2021
Explaining Adversarial Vulnerability with a Data Sparsity HypothesisNeurocomputing (Neurocomputing), 2021 Mahsa Paknezhad Cuong Phuc Ngo Amadeus Aristo Winarto Alistair Cheong Beh Chuen Yang Wu Jiayang Lee Hwee Kuan OOD AAML 142 10 0 01 Mar 2021
A PAC-Bayes Analysis of Adversarial RobustnessNeural Information Processing Systems (NeurIPS), 2021 Paul Viallard Guillaume Vidot Amaury Habrard Emilie Morvant AAML 123 16 0 19 Feb 2021