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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,019 papers shown

Title
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs Prashant Pandey Mustafa Chasmai Tanuj Sur Brejesh Lall 126 11 0 26 Aug 2022
Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm Xinyi Wang S. Y. Enoch Dan Dongseong Kim AAML 41 2 0 25 Aug 2022
A Perturbation Resistant Transformation and Classification System for Deep Neural Networks Nathaniel R. Dean D. Sarkar AAML 27 0 0 25 Aug 2022
Black-box Attacks Against Neural Binary Function Detection Josh Bundt Michael Davinroy Ioannis Agadakos Alina Oprea William K. Robertson AAML 62 1 0 24 Aug 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries Dongbin Na Sangwoo Ji Jong Kim AAML 82 17 0 24 Aug 2022
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability Shahroz Tariq B. Le Simon S. Woo AAML AI4TS 57 4 0 24 Aug 2022
Auditing Membership Leakages of Multi-Exit Networks Zheng Li Yiyong Liu Xinlei He Ning Yu Michael Backes Yang Zhang AAML 73 34 0 23 Aug 2022
Transferability Ranking of Adversarial Examples Mosh Levy Guy Amit Yuval Elovici Yisroel Mirsky AAML 129 0 0 23 Aug 2022
Adversarial Vulnerability of Temporal Feature Networks for Object Detection Svetlana Pavlitskaya Nikolai Polley Michael Weber J. Marius Zöllner AAML 71 3 0 23 Aug 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection Simin Li Huangxinxin Xu Jiakai Wang Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 76 6 0 23 Aug 2022
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism Yongwei Wang Yuanpei Li Zhiqi Shen Yuhui Qiao DiffM MedIm 89 5 0 22 Aug 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 127 17 0 21 Aug 2022
Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks Zhaodi Zhang Yiting Wu Siwen Liu Jing Liu Min Zhang AAML 57 11 0 21 Aug 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition Jiachen Sun Weili Nie Zhiding Yu Z. Morley Mao Chaowei Xiao DiffM 75 25 0 21 Aug 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective Gihyun Kim Juyeop Kim Jong-Seok Lee AAML ViT 54 6 0 20 Aug 2022
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models Yulong Wang Minghui Zhao Shenghong Li Xinnan Yuan W. Ni 70 17 0 19 Aug 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 72 47 0 18 Aug 2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries Manaar Alam Shubhajit Datta Debdeep Mukhopadhyay Arijit Mondal P. Chakrabarti AAML 40 5 0 18 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 95 2 0 18 Aug 2022
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks Raz Lapid Zvika Haramaty Moshe Sipper AAML MLAU 73 12 0 17 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models Dong Huang Qi Bu Yuhao Qing Haowen Pi Sen Wang Heming Cui OOD AAML 60 0 0 17 Aug 2022
An Efficient Multi-Step Framework for Malware Packing Identification Jong-Wouk Kim Yang-Sae Moon Mi-Jung Choi 25 0 0 17 Aug 2022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models Brendon G. Anderson Tanmay Gautam Somayeh Sojoudi OOD 57 2 0 15 Aug 2022
A Human-in-the-Middle Attack against Object Detection Systems Han-Ching Wu Sareh Rowlands Johan Wahlstrom AAML 81 0 0 15 Aug 2022
A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 62 0 0 15 Aug 2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML 88 3 0 12 Aug 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator Xiang Gao Cheng Luo Qinliang Lin Weicheng Xie Minmin Liu Linlin Shen Keerthy Kusumam Siyang Song 52 5 0 12 Aug 2022
Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks Ferhat Ozgur Catak Murat Kuzlu Evren Çatak Umit Cali Ozgur Guler AAML 61 26 0 12 Aug 2022
On deceiving malware classification with section injection Adeilson Antonio da Silva Maurício Pamplona Segundo 110 4 0 12 Aug 2022
A Sublinear Adversarial Training Algorithm Yeqi Gao Lianke Qin Zhao Song Yitan Wang GAN 77 25 0 10 Aug 2022
Optimistic Optimisation of Composite Objective with Exponentiated Update Weijia Shao F. Sivrikaya S. Albayrak 123 3 0 08 Aug 2022
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models Jinyu Fan Yi Zeng AAML 68 1 0 08 Aug 2022
Federated Adversarial Learning: A Framework with Convergence Analysis Xiaoxiao Li Zhao Song Jiaming Yang FedML 92 21 0 07 Aug 2022
Blackbox Attacks via Surrogate Ensemble Search Zikui Cai Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury M. Salman Asif AAML 108 21 0 07 Aug 2022
FBI: Fingerprinting models with Benign Inputs Thibault Maho Teddy Furon Erwan Le Merrer AAML 76 4 0 05 Aug 2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification Faris Almalik Mohammad Yaqub Karthik Nandakumar ViT AAML MedIm 107 34 0 04 Aug 2022
A New Kind of Adversarial Example Ali Borji AAML 122 1 0 04 Aug 2022
Design of secure and robust cognitive system for malware detection Sanket Shukla AAML 58 2 0 03 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 103 24 0 03 Aug 2022
Is current research on adversarial robustness addressing the right problem? Ali Borji OOD AAML 63 1 0 31 Jul 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 90 2 0 31 Jul 2022
Robust Trajectory Prediction against Adversarial Attacks Yulong Cao Danfei Xu Xinshuo Weng Zhuoqing Mao Anima Anandkumar Chaowei Xiao Marco Pavone AAML 74 30 0 29 Jul 2022
Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing Daizong Liu Wei Hu Xin Li AAML 3DPC 101 16 0 27 Jul 2022
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception Rui Duan Zhe Qu Shangqing Zhao Leah Ding Yao-Hong Liu Zhuo Lu AAML 61 6 0 26 Jul 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 122 78 0 25 Jul 2022
Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou Nannan Wang Xinbo Gao Bo Han Xiaoyu Wang Yibing Zhan Tongliang Liu AAML 57 16 0 25 Jul 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 85 24 0 25 Jul 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 113 18 0 24 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness? Roy Ganz Bahjat Kawar Michael Elad AAML 76 10 0 22 Jul 2022
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation Tong Wu Tianhao Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML 98 39 0 22 Jul 2022