v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown

Title
Defects of Convolutional Decoder Networks in Frequency Representation Ling Tang Wen Shen Zhanpeng Zhou YueFeng Chen Quanshi Zhang 71 14 0 17 Oct 2022
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers Gaurav Kumar Nayak Ruchit Rawal Anirban Chakraborty 124 3 0 17 Oct 2022
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems Weihao Zeng Keqing He Zechen Wang Dayuan Fu Guanting Dong ... Pei Wang Jingang Wang Chaobo Sun Wei Wu Weiran Xu 83 16 0 17 Oct 2022
Differential Evolution based Dual Adversarial Camouflage: Fooling Human Eyes and Object Detectors Jialiang Sun Tingsong Jiang Wen Yao Donghua Wang Xiaoqian Chen AAML 94 17 0 17 Oct 2022
ODG-Q: Robust Quantization via Online Domain Generalization Chaofan Tao Ngai Wong MQ 91 1 0 17 Oct 2022
Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples Hui Liu Bo Zhao Kehuan Zhang Peng Liu AAML 62 4 0 16 Oct 2022
Object-Attentional Untargeted Adversarial Attack Chao Zhou Yuan-Gen Wang Guopu Zhu AAML 66 2 0 16 Oct 2022
Scratching Visual Transformer's Back with Uniform Attention Nam Hyeon-Woo Kim Yu-Ji Byeongho Heo Doonyoon Han Seong Joon Oh Tae-Hyun Oh 534 23 0 16 Oct 2022
Stability of Accuracy for the Training of DNNs Via the Uniform Doubling Condition Yitzchak Shmalo 45 1 0 16 Oct 2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging A. Jaiswal Kumar Ashutosh Justin F. Rousseau Yifan Peng Zhangyang Wang Ying Ding 53 10 0 15 Oct 2022
Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability M. M. Karimi Azin Heidarshenas W. Edmonson 32 0 0 15 Oct 2022
Is Face Recognition Safe from Realizable Attacks? Sanjay Saha Terence Sim CVBM AAML 44 3 0 15 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks An Tao Yueqi Duan Yingqi Wang Jiwen Lu Jie Zhou AAML 85 6 0 15 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yi Mo Dongxian Wu Yifei Wang Yiwen Guo Yisen Wang ViT 99 58 0 14 Oct 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization Zhiyuan Zhang Ruixuan Luo Qi Su Xueting Sun 105 13 0 13 Oct 2022
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient F. Nikfam Alberto Marchisio Maurizio Martina Mohamed Bennai AAML 55 0 0 13 Oct 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition Shuai Jia Bangjie Yin Taiping Yao Shouhong Ding Chunhua Shen Xiaokang Yang Chao Ma AAML CVBM 91 50 0 13 Oct 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors Qixun Wang Yifei Wang Hong Zhu Yisen Wang OOD 49 20 0 13 Oct 2022
Observed Adversaries in Deep Reinforcement Learning Eugene Lim Harold Soh AAML 26 0 0 13 Oct 2022
Visual Prompting for Adversarial Robustness Aochuan Chen P. Lorenz Yuguang Yao Pin-Yu Chen Sijia Liu VLM VPVLM 118 35 0 12 Oct 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein AAML 73 15 0 12 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 83 84 0 12 Oct 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper Margret Keuper AAML 80 25 0 12 Oct 2022
Effectiveness of the Recent Advances in Capsule Networks Nidhin Harilal Rohan Patil 35 0 0 11 Oct 2022
Designing Robust Transformers using Robust Kernel Density Estimation Xing Han Zhaolin Ren T. Nguyen Khai Nguyen Joydeep Ghosh Nhat Ho 110 6 0 11 Oct 2022
Curved Representation Space of Vision Transformers Juyeop Kim Junha Park Songkuk Kim Jongseok Lee ViT 81 7 0 11 Oct 2022
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference Maximilian Dax Stephen R. Green J. Gair M. Purrer J. Wildberger Jakob H. Macke A. Buonanno Bernhard Schölkopf BDL 105 58 0 11 Oct 2022
Human Body Measurement Estimation with Adversarial Augmentation Nataniel Ruiz Míriam Bellver Timo Bolkart Ambuj Arora Ming-Chia Lin Javier Romero Raj Bala 3DH 98 5 0 11 Oct 2022
Adversarial Attack Against Image-Based Localization Neural Networks Meir Brand I. Naeh Daniel Teitelman AAML 67 0 0 11 Oct 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? Nikolaos Tsilivis Julia Kempe AAML 98 20 0 11 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 83 13 0 11 Oct 2022
Stable and Efficient Adversarial Training through Local Linearization Zhuorong Li Daiwei Yu AAML 32 0 0 11 Oct 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Mohamed Bennai AAML 140 6 0 11 Oct 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models Yuanxin Liu Fandong Meng Zheng Lin JiangNan Li Peng Fu Yanan Cao Weiping Wang Jie Zhou 87 6 0 11 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization Ziquan Liu Antoni B. Chan AAML 60 5 0 11 Oct 2022
Repainting and Imitating Learning for Lane Detection Yue He Minyue Jiang Xiaoqing Ye Liang Du Zhikang Zou Wei Zhang Xiao Tan Errui Ding 53 1 0 11 Oct 2022
Revisiting adapters with adversarial training Sylvestre-Alvise Rebuffi Francesco Croce Sven Gowal AAML 60 17 0 10 Oct 2022
Certified Training: Small Boxes are All You Need Mark Niklas Muller Franziska Eckert Marc Fischer Martin Vechev AAML 99 48 0 10 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 87 28 0 10 Oct 2022
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks Simin Chen Mirazul Haque Cong Liu Wei Yang 110 22 0 10 Oct 2022
Pruning Adversarially Robust Neural Networks without Adversarial Examples T. Jian Zifeng Wang Yanzhi Wang Jennifer Dy Stratis Ioannidis AAML VLM 71 13 0 09 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 64 59 0 09 Oct 2022
Symmetry Defense Against CNN Adversarial Perturbation Attacks Blerta Lindqvist AAML 74 2 0 08 Oct 2022
Robustness of Unsupervised Representation Learning without Labels Aleksandar Petrov Marta Z. Kwiatkowska OffRL 90 2 0 08 Oct 2022
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems Jiahui Chen Yi Zhao Qi Li Xuewei Feng Ke Xu AAML FedML 108 14 0 08 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 85 50 0 08 Oct 2022
A2: Efficient Automated Attacker for Boosting Adversarial Training Zhuoer Xu Guanghui Zhu Changhua Meng Shiwen Cui ZhenZhe Ying Weiqiang Wang GU Ming Yihua Huang AAML 99 14 0 07 Oct 2022
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Prashant Pandey Aleti Vardhan Mustafa Chasmai Tanuj Sur Brejesh Lall AAML 57 9 0 07 Oct 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 95 13 0 07 Oct 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 98 24 0 07 Oct 2022