Towards Robust Neural Networks via Random Self-ensemble

2 December 2017

Papers citing "Towards Robust Neural Networks via Random Self-ensemble"

50 / 242 papers shown

Title
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Rihao Li Meng Hu Wenhui Wu Yuheng Jia AAML 77 0 0 26 Mar 2025
Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations Xiao Wang Hendrik Borras Bernhard Klein Holger Fröning 62 0 0 20 Mar 2025
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models Xiangyu Yin Jiaxu Liu Zhen Chen Jinwei Hu Yi Dong Xiaowei Huang Wenjie Ruan AAML 45 0 0 08 Mar 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 75 0 0 29 Nov 2024
Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shifts Mary Isabelle Wisell Salimeh Yasaei Sekeh 18 0 0 14 Nov 2024
Noise as a Double-Edged Sword: Reinforcement Learning Exploits Randomized Defenses in Neural Networks Steve Bakos Pooria Madani Heidar Davoudi AAML 30 0 0 31 Oct 2024
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer Shihua Sun Kenechukwu Nwodo Shridatt Sugrim Angelos Stavrou Haining Wang AAML 18 1 0 20 Sep 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 51 0 0 16 Aug 2024
$Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions$ Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions Fan Wang Adams Wai-Kin Kong 38 1 0 10 May 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 34 5 0 01 Apr 2024
Certified Human Trajectory Prediction Mohammadhossein Bahari Saeed Saadatnejad Amirhossein Asgari-Farsangi Seyed-Mohsen Moosavi-Dezfooli Alexandre Alahi AAML 40 1 0 20 Mar 2024
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense Qiao Han yong huang Xinling Guo Yiteng Zhai Yu Qin Yao Yang AAML 18 1 0 29 Feb 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks Sofiane Ennadir Yassine Abbahaddou J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML 31 12 0 21 Feb 2024
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons Zhenyu Liu Garrett Gagnon Swagath Venkataramani Liu Liu AAML 28 0 0 06 Feb 2024
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks Ping Guo Zhiyuan Yang Xi Lin Qingchuan Zhao Qingfu Zhang AAML 32 4 0 19 Jan 2024
May the Noise be with you: Adversarial Training without Adversarial Examples Ayoub Arous A. F. López-Lopera Nael B. Abu-Ghazaleh Ihsen Alouani AAML OOD 28 0 0 12 Dec 2023
Adversarial Medical Image with Hierarchical Feature Hiding Qingsong Yao Zecheng He Yuexiang Li Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou MedIm AAML 31 4 0 04 Dec 2023
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training Saurabh Farkya Aswin Raghavan Avi Ziskind 14 0 0 30 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 22 2 0 26 Nov 2023
E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification Sneh Pandya Purvik Patel O. Franc Jonathan Blazek 36 1 0 02 Nov 2023
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles Xing Shen Hengguan Huang Brennan Nichyporuk Tal Arbel MedIm 38 4 0 24 Oct 2023
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking Yang Wu Shenglong Hu Huihui Song Kaihua Zhang Bo Liu Dong Liu 26 0 0 16 Oct 2023
Provably Robust Cost-Sensitive Learning via Randomized Smoothing Yuan Xin Michael Backes Xiao Zhang AAML 20 0 0 12 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 26 3 0 10 Oct 2023
Sub-token ViT Embedding via Stochastic Resonance Transformers Dong Lao Yangchao Wu Tian Yu Liu Alex Wong Stefano Soatto VOS 25 4 0 06 Oct 2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks Jindong Gu Fangyun Wei Philip H. S. Torr Han Hu AAML 20 1 0 12 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 27 61 0 30 Aug 2023
Advancing Adversarial Robustness Through Adversarial Logit Update Hao Xuan Peican Zhu Xingyu Li AAML 18 0 0 29 Aug 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models Weikang Yu Yonghao Xu Pedram Ghamisi 24 4 0 31 Jul 2023
ATWM: Defense against adversarial malware based on adversarial training Kunkun Li Fan Zhang Wei Guo AAML 20 0 0 11 Jul 2023
Advancing Adversarial Training by Injecting Booster Signal Hong Joo Lee Youngjoon Yu Yonghyun Ro AAML 14 3 0 27 Jun 2023
Adversarial Attacks Neutralization via Data Set Randomization Mouna Rabhi Roberto Di Pietro AAML 28 0 0 21 Jun 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 24 4 0 25 May 2023
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications Han Cheol Moon Shafiq R. Joty Ruochen Zhao Megh Thakkar Xu Chi AAML 11 14 0 11 May 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 13 7 0 08 May 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 22 2 0 10 Apr 2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage Ruyi Ding Gongye Cheng Siyue Wang A. A. Ding Yunsi Fei AAML 21 6 0 27 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 36 34 0 19 Mar 2023
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications? Ou Zheng Mohamed Abdel-Aty Dongdong Wang Zijin Wang Shengxuan Ding LM&MA 25 14 0 06 Mar 2023
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees Jinghuai Zhang Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 3DPC 25 6 0 03 Mar 2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? Ruisi Cai Zhenyu (Allen) Zhang Zhangyang Wang AAML OOD 22 12 0 24 Feb 2023
On the Role of Randomization in Adversarially Robust Classification Lucas Gnecco-Heredia Y. Chevaleyre Benjamin Négrevergne Laurent Meunier Muni Sreenivas Pydi AAML 22 5 0 14 Feb 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 28 18 0 29 Jan 2023
A Stability Analysis of Fine-Tuning a Pre-Trained Model Z. Fu Anthony Man-Cho So Nigel Collier 23 3 0 24 Jan 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation Utkarsh Nath Yancheng Wang Yingzhen Yang AAML 19 2 0 19 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 16 4 0 18 Jan 2023
Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics Hendrik Borras Bernhard Klein Holger Fröning AAML 13 1 0 20 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 19 19 0 05 Dec 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense Bao Gia Doan Ehsan Abbasnejad Javen Qinfeng Shi Damith Ranashinghe AAML OOD 24 8 0 05 Dec 2022
Extreme Image Transformations Affect Humans and Machines Differently Girik Malik Dakarai Crowder E. Mingolla AAML 16 2 0 30 Nov 2022