v1v2 (latest)

Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,015 papers shown

Title
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 121 0 0 14 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 49 0 0 14 Nov 2023
On the Robustness of Neural Collapse and the Neural Collapse of Robustness Jingtong Su Ya Shi Zhang Nikolaos Tsilivis Julia Kempe AAML 61 7 0 13 Nov 2023
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models Yuanbin Cheng Koji Yamashita Jim Follum Nanpeng Yu AAML 112 2 0 13 Nov 2023
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective Bhagyashree Puranik Ahmad Beirami Yao Qin Upamanyu Madhow AAML 70 0 0 02 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training Jiacheng Li Ninghui Li Bruno Ribeiro 109 4 0 02 Nov 2023
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min Lin TDI 134 26 1 01 Nov 2023
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks Seokil Ham Jun-Gyu Park Dong-Jun Han Jaekyun Moon AAML 73 5 0 01 Nov 2023
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems Jung-Woo Chang Ke Sun Nasimeh Heydaribeni Seira Hidano Xinyu Zhang F. Koushanfar AAML 84 1 0 01 Nov 2023
Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning Haoyu Liu A. Diallo P. Patras AAML 45 3 0 31 Oct 2023
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models Preetam Prabhu Srikar Dammu Yunhe Feng Chirag Shah 107 1 0 30 Oct 2023
Exploring Geometry of Blind Spots in Vision Models S. Balasubramanian Gaurang Sriramanan Vinu Sankar Sadasivan Soheil Feizi AAML 69 2 0 30 Oct 2023
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications Xintian Ren Jun Wu Hansong Xu Qianqian Pan DiffM 64 2 0 30 Oct 2023
BERT Lost Patience Won't Be Robust to Adversarial Slowdown Zachary Coalson Gabriel Ritter Rakesh Bobba Sanghyun Hong AAML 56 2 0 29 Oct 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors Han Liu Xingshuo Huang Xiaotong Zhang Qimai Li Fenglong Ma Wen Wang Hongyang Chen Hong Yu Xianchao Zhang AAML 72 2 0 29 Oct 2023
The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes Eoin M. Kenny Weipeng Huang 72 9 0 29 Oct 2023
Understanding and Improving Ensemble Adversarial Defense Yian Deng Tingting Mu AAML 67 21 0 27 Oct 2023
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 118 7 0 27 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang Basel Alomair Yue Liu 100 32 0 27 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 104 6 0 26 Oct 2023
CBD: A Certified Backdoor Detector Based on Local Dominant Probability Zhen Xiang Zidi Xiong Bo Li AAML 146 14 0 26 Oct 2023
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow Erik Scheurer Jenny Schmalfuss Alexander Lis Andrés Bruhn AAML 78 6 0 26 Oct 2023
Adversarial sample generation and training using geometric masks for accurate and resilient license plate character recognition Bishal Shrestha Griwan Khakurel Kritika Simkhada Badri Adhikari AAML 79 0 0 25 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 74 10 0 24 Oct 2023
On the Detection of Image-Scaling Attacks in Machine Learning Erwin Quiring Andreas Müller Konrad Rieck AAML 32 1 0 23 Oct 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao M. Mohri Yutao Zhong 88 27 0 23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 52 24 0 23 Oct 2023
Imperceptible CMOS camera dazzle for adversarial attacks on deep neural networks Zvi Stein Adrian Stern AAML 57 0 0 22 Oct 2023
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 61 4 0 21 Oct 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses Chong Xiang Tong Wu Sihui Dai Jonathan Petit Suman Jana Prateek Mittal 122 6 0 19 Oct 2023
On the Computational Complexities of Complex-valued Neural Networks K. S. Mayer J. A. Soares Ariadne A. Cruz D. Arantes 26 3 0 19 Oct 2023
Generating Robust Adversarial Examples against Online Social Networks (OSNs) Jun Liu Jiantao Zhou Haiwei Wu Weiwei Sun Jinyu Tian AAML 83 5 0 19 Oct 2023
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples Jun Liu Jiantao Zhou Jinyu Tian Weiwei Sun PICV 57 6 0 19 Oct 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving Linrui Zhang Zhenghao Peng Quanyi Li Bolei Zhou AAML 95 29 0 19 Oct 2023
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception Yangheng Zhao Zhen Xiang Sheng Yin Xianghe Pang Siheng Chen Yanfeng Wang AAML 98 6 0 18 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now Yimeng Zhang Jinghan Jia Xin Chen Aochuan Chen Yihua Zhang Jiancheng Liu Ke Ding Sijia Liu DiffM 185 101 0 18 Oct 2023
Adversarial Training for Physics-Informed Neural Networks Yao Li Shengzhu Shi Zhichang Guo Boying Wu AAML PINN 84 0 0 18 Oct 2023
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm S. M. Fazle J. Mondal Meem Arafat Manab Xi Xiao Sarfaraz Newaz AAML 131 0 0 18 Oct 2023
The Efficacy of Transformer-based Adversarial Attacks in Security Domains Kunyang Li Kyle Domico Jean-Charles Noirot Ferrand Patrick McDaniel AAML 56 0 0 17 Oct 2023
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks Jun Xia Zhihao Yue Yingbo Zhou Zhiwei Ling Xian Wei Mingsong Chen AAML 58 1 0 17 Oct 2023
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets Zhicheng Cai Xiaohan Ding Qiu Shen Xun Cao 67 20 0 16 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron attribution Zhibo Jin Zhiyu Zhu Xinyi Wang Jiayu Zhang Jun Shen Huaming Chen AAML 66 10 0 16 Oct 2023
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization Long Zhuo Shenghai Luo Shunquan Tan Han Chen Bin Li Jiwu Huang AAML 63 0 0 16 Oct 2023
Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning Yulong Yang Chenhao Lin Xiang Ji Qiwei Tian Qian Li Hongshan Yang Zhibo Wang Chao Shen 72 7 0 15 Oct 2023
AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings Renyang Liu Jinhong Zhang Haoran Li Jin Zhang Yuanyu Wang Wei Zhou AAML 66 3 0 15 Oct 2023
$Is Certifying $\ell_p$ Robustness Still Worthwhile?$ Is Certifying $\ell_p$ Robustness Still Worthwhile? Ravi Mangal Klas Leino Zifan Wang Kai Hu Weicheng Yu Corina S. Pasareanu Anupam Datta Matt Fredrikson AAML OOD 86 1 0 13 Oct 2023
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP Linyang Li Ke Ren Yunfan Shao Pengyu Wang Xipeng Qiu 66 6 0 13 Oct 2023
Concealed Electronic Countermeasures of Radar Signal with Adversarial Examples Ruinan Ma Canjie Zhu Mingfeng Lu Yunjie Li Yu-an Tan Ruibin Zhang Ran Tao AAML 31 1 0 12 Oct 2023
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization Giuseppe Floris Raffaele Mura Luca Scionis Giorgio Piras Maura Pintor Ambra Demontis Battista Biggio AAML 59 4 0 12 Oct 2023
Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks Giorgio Piras Maura Pintor Ambra Demontis Battista Biggio AAML 57 1 0 12 Oct 2023