Towards Deep Neural Network Architectures Robust to Adversarial Examples

11 December 2014

Papers citing "Towards Deep Neural Network Architectures Robust to Adversarial Examples"

50 / 158 papers shown

Title
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 67 0 0 20 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms Luke E. Richards Jessie Yaros Jasen Babcock Coung Ly Robin Cosbey Timothy Doster Cynthia Matuszek NAI 66 0 0 13 Feb 2025
Classification-Denoising Networks Louis Thiry Florentin Guth 34 0 0 04 Oct 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors Jing Wen AAML 41 0 0 30 May 2024
Policy Gradient-Driven Noise Mask Mehmet Can Yavuz Yang Yang 30 1 0 29 Apr 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 61 8 0 15 Mar 2024
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Jon Egana-Zubia Raul Orduna Urrutia AAML 32 6 0 12 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Leveraging Contextual Counterfactuals Toward Belief Calibration Qiuyi Zhang Zhang Michael S. Lee Sherol Chen 29 1 0 13 Jul 2023
Data Augmentation in Training CNNs: Injecting Noise to Images M. E. Akbiyik 20 19 0 12 Jul 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 52 50 0 18 May 2023
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives Yahong Yang Haizhao Yang Yang Xiang 31 19 0 15 May 2023
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski Ali H. Sayed AAML 43 1 0 23 Mar 2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization W. Cui Wei Yu UQCV OOD 27 6 0 23 Feb 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark Gales AAML 38 3 0 30 Jan 2023
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid Farhin Farhad Riya Shahinul Hoque Jinyuan Stella Sun Jiangnan Li Hairong Qi Hairong Qi AAML AI4CE 49 0 0 29 Jan 2023
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence Han Fang Jiyi Zhang Yupeng Qiu Ke Xu Chengfang Fang E. Chang AAML 33 2 0 31 Dec 2022
Generalizing and Improving Jacobian and Hessian Regularization Chenwei Cui Zehao Yan Guangsheng Liu Liangfu Lu AAML 32 1 0 01 Dec 2022
Efficiently Finding Adversarial Examples with DNN Preprocessing Avriti Chauhan Mohammad Afzal Hrishikesh Karmarkar Y. Elboher Kumar Madhukar Guy Katz AAML 32 0 0 16 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 30 32 0 24 Oct 2022
Scaling Laws for Reward Model Overoptimization Leo Gao John Schulman Jacob Hilton ALM 41 489 0 19 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 76 45 0 16 Sep 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Kui Zhang Gang Hua Nenghai Yu 3DPC 32 12 0 16 Sep 2022
Side-channel attack analysis on in-memory computing architectures Ziyu Wang Fanruo Meng Yongmo Park Jason Eshraghian Wei D. Lu 24 21 0 06 Sep 2022
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution Ming-Kuai Zhou Xiaobing Pei AAML 16 0 0 31 Aug 2022
Exact Spectral Norm Regularization for Neural Networks Anton Johansson Claes Strannegård Niklas Engsner P. Mostad AAML 25 2 0 27 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 28 0 0 01 Jun 2022
CE-based white-box adversarial attacks will not work using super-fitting Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 37 0 0 04 May 2022
A Mask-Based Adversarial Defense Scheme Weizhen Xu Chenyi Zhang Fangzhen Zhao Liangda Fang AAML 30 3 0 21 Apr 2022
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems Xugui Zhou Maxfield Kouzel H. Alemzadeh OOD AAML 8 13 0 20 Apr 2022
Shape-invariant 3D Adversarial Point Clouds Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Nenghai Yu 3DPC 21 67 0 08 Mar 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework Mohammad Khalooei M. Homayounpour M. Amirmazlaghani AAML 25 3 0 05 Feb 2022
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification A. Ćiprijanović Diana Kafkes Gregory F. Snyder F. Sánchez G. Perdue K. Pedro Brian D. Nord Sandeep Madireddy Stefan M. Wild AAML 42 15 0 28 Dec 2021
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 212 345 0 15 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces Volodymyr Kuleshov Evgenii Nikishin S. Thakoor Tingfung Lau Stefano Ermon AAML 27 1 0 12 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 39 55 0 05 Dec 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps Muhammad Awais Fengwei Zhou Chuanlong Xie Jiawei Li Sung-Ho Bae Zhenguo Li AAML 43 17 0 09 Nov 2021
Generative Dynamic Patch Attack Xiang Li Shihao Ji AAML 30 22 0 08 Nov 2021
Fast Gradient Non-sign Methods Yaya Cheng Jingkuan Song Xiaosu Zhu Qilong Zhang Lianli Gao Heng Tao Shen AAML 29 11 0 25 Oct 2021
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover Wei Pu Chao Zhou Yonina C. Eldar M. Rodrigues OOD 18 1 0 20 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du Bo Chen Tat-Jun Chin Yee Wei Law Michele Sasdelli Ramesh Rajasegaran Dillon Campbell AAML 33 60 0 26 Aug 2021
Optical Adversarial Attack Abhiram Gnanasambandam A. Sherman Stanley H. Chan AAML 32 65 0 13 Aug 2021
Removing Adversarial Noise in Class Activation Feature Space Dawei Zhou N. Wang Chunlei Peng Xinbo Gao Xiaoyu Wang Jun Yu Tongliang Liu AAML 30 28 0 19 Apr 2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models Benjamin Zi Hao Zhao Aviral Agrawal Catisha Coburn Hassan Jameel Asghar Raghav Bhaskar M. Kâafar Darren Webb Peter Dickinson MIACV 31 38 0 12 Mar 2021
Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN Desheng Wang Wei-dong Jin Yunpu Wu Aamir Khan GAN 36 8 0 08 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 33 41 0 05 Mar 2021
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Hairong Qi AAML 39 14 0 17 Feb 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 27 25 0 04 Feb 2021
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting F. Nesti Alessandro Biondi Giorgio Buttazzo AAML 15 39 0 27 Jan 2021