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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

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Title
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 105 4 0 18 Jan 2024
Hijacking Attacks against Neural Networks by Analyzing Training Data Yunjie Ge Qian Wang Huayang Huang Qi Li Cong Wang Chao Shen Lingchen Zhao Peipei Jiang Zheng Fang Shenyi Zhang 93 0 0 18 Jan 2024
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack Zhongliang Guo Junhao Dong Yifei Qian Kaixuan Wang Weiye Li Ziheng Guo Yuheng Wang Yanli Li Ognjen Arandjelović Lei Fang AAML 96 11 0 18 Jan 2024
Towards Scalable and Robust Model Versioning Wenxin Ding A. Bhagoji Ben Y. Zhao Haitao Zheng AAML 91 0 0 17 Jan 2024
Robust Localization of Key Fob Using Channel Impulse Response of Ultra Wide Band Sensors for Keyless Entry Systems A. Kolli Filippo Casamassima Horst Possegger Horst Bischof AAML 61 1 0 16 Jan 2024
Bag of Tricks to Boost Adversarial Transferability Zeliang Zhang Rongyi Zhu Wei Yao Xiaosen Wang Chenliang Xu AAML 91 11 0 16 Jan 2024
Robustness Against Adversarial Attacks via Learning Confined Adversarial Polytopes Shayan Mohajer Hamidi Linfeng Ye AAML 72 3 0 15 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 160 1 0 12 Jan 2024
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model Zhiyu Zhu Huaming Chen Xinyi Wang Jiayu Zhang Zhibo Jin Kim-Kwang Raymond Choo Jun Shen Dong Yuan 52 8 0 11 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 139 0 0 09 Jan 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness Sibo Wang Jie Zhang Zheng Yuan Shiguang Shan VLM 109 24 0 09 Jan 2024
Data-Driven Subsampling in the Presence of an Adversarial Actor Abu Shafin Mohammad Mahdee Jameel Ahmed P. Mohamed Jinho Yi Aly El Gamal Akshay Malhotra 36 0 0 07 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 52 1 0 05 Jan 2024
A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples Ryota Iijima Sayaka Shiota Hitoshi Kiya AAML 46 0 0 05 Jan 2024
Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology Imaging Poojitha Thota Jai Prakash Veerla Partha Sai Guttikonda M. Nasr Shirin Nilizadeh Jacob M. Luber AAML 85 9 0 04 Jan 2024
Evasive Hardware Trojan through Adversarial Power Trace Behnam Omidi Khaled N. Khasawneh Ihsen Alouani 60 0 0 04 Jan 2024
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction Wei Qian Chenxu Zhao Yangyi Li Fenglong Ma Chao Zhang Mengdi Huai UQCV 89 5 0 03 Jan 2024
FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers Zheng Yuan Jie Zhang Shiguang Shan Xilin Chen 106 4 0 03 Jan 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization Xixu Hu Runkai Zheng Jindong Wang Cheuk Hang Leung Qi Wu Xing Xie 55 1 0 02 Jan 2024
Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise Qinglong Huang Yong Liao Yanbin Hao Pengyuan Zhou 75 5 0 02 Jan 2024
JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example B. Tondi Wei Guo Mauro Barni AAML 35 0 0 02 Jan 2024
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing Zhe Kong Wentian Zhang Tao Wang Kaihao Zhang Yuexiang Li Xiaoying Tang Wenhan Luo AAML CVBM 70 1 0 02 Jan 2024
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles M. Salek Abdullah Al Mamun Mashrur Chowdhury AAML GAN 44 2 0 31 Dec 2023
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 102 27 0 30 Dec 2023
CamPro: Camera-based Anti-Facial Recognition Wenjun Zhu Yuan Sun Jiani Liu Yushi Cheng Xiaoyu Ji Wei Dong PICV 72 1 0 30 Dec 2023
TPatch: A Triggered Physical Adversarial Patch Wenjun Zhu Xiaoyu Ji Yushi Cheng Shibo Zhang Wei Dong AAML 108 27 0 30 Dec 2023
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World Zheng Zhou Hong Zhao Ju Liu Qiaosheng Zhang Liwei Geng Shuchang Lyu W. Feng AAML 82 2 0 29 Dec 2023
Attack Tree Analysis for Adversarial Evasion Attacks Yuki Yamaguchi Toshiaki Aoki AAML 90 0 0 28 Dec 2023
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 95 3 0 28 Dec 2023
Adversarial Attacks on Image Classification Models: Analysis and Defense Jaydip Sen Abhiraj Sen Ananda Chatterjee AAML 56 4 0 28 Dec 2023
Natural Adversarial Patch Generation Method Based on Latent Diffusion Model Xianyi Chen Fazhan Liu Dong Jiang Kai Yan AAML DiffM 49 1 0 27 Dec 2023
Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes Xia Wang Anda Liang Jonathan Sprinkle Taylor T. Johnson 61 4 0 27 Dec 2023
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 109 11 0 22 Dec 2023
AdvCloak: Customized Adversarial Cloak for Privacy Protection Xuannan Liu Yaoyao Zhong Xingchen Cui Yuhang Zhang Peipei Li Weihong Deng PICV 60 2 0 22 Dec 2023
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai Yuxuan Zhu Jie Qiao Zefeng Liang Furui Liu Zhifeng Hao CML 98 5 0 21 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 86 0 0 21 Dec 2023
PGN: A perturbation generation network against deep reinforcement learning Xiangjuan Li Feifan Li Yang Li Quanbiao Pan AAML 60 2 0 20 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 64 2 0 18 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector Litian Liu Yao Qin OODD 118 20 0 15 Dec 2023
Fragility, Robustness and Antifragility in Deep Learning Chandresh Pravin Ivan Martino Giuseppe Nicosia Varun Ojha 83 0 0 15 Dec 2023
SlowTrack: Increasing the Latency of Camera-based Perception in Autonomous Driving Using Adversarial Examples Chen Ma Ningfei Wang Qi Alfred Chen Chao Shen 63 25 0 15 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 166 4 0 15 Dec 2023
AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection Xiangtao Meng Li Wang Shanqing Guo Lei Ju Qingchuan Zhao AAML 60 8 0 14 Dec 2023
Radio Signal Classification by Adversarially Robust Quantum Machine Learning Yanqiu Wu E. Adermann Chandra Thapa S. Çamtepe Hajime Suzuki Muhammad Usman AAML 59 3 0 13 Dec 2023
SSTA: Salient Spatially Transformed Attack Renyang Liu Wei Zhou Sixing Wu Jun Zhao Kwok-Yan Lam AAML 65 0 0 12 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 63 0 0 12 Dec 2023
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks, Yuwei Han Y. Lai Yulin Zhu Kai Zhou AAML 69 1 0 12 Dec 2023
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training Qian Li Yuxiao Hu Yinpeng Dong Dong-juan Zhang Yuntian Chen AAML 72 3 0 12 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 75 0 0 12 Dec 2023
Adversarial Estimation of Topological Dimension with Harmonic Score Maps Eric C. Yeats Cameron Darwin Frank Liu Hai Li 99 2 0 11 Dec 2023