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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,016 papers shown

Title
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations Hyeonjeong Ha Minseon Kim Sung Ju Hwang OOD AAML 68 6 0 08 Jun 2023
A Melting Pot of Evolution and Learning Moshe Sipper Achiya Elyasaf Tomer Halperin Zvika Haramaty Raz Lapid Eyal Segal Itai Tzruia Snir Vitrack Tamam BDL 57 0 0 08 Jun 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions D. Thaker Paris V. Giampouras René Vidal AAML 62 0 0 07 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 56 1 0 07 Jun 2023
Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving) Yohan Beugin Patrick McDaniel 138 7 0 06 Jun 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery Jianing Zhu Xiawei Guo Jiangchao Yao Chao Du Li He Shuo Yuan Tongliang Liu Liang Wang Bo Han AAML 60 0 0 06 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters Xingxing Wei Shiji Zhao Bo li AAML 121 7 0 06 Jun 2023
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Drew Linsley Pinyuan Feng Thibaut Boissin A. Ashok Thomas Fel Stephanie Olaiya Thomas Serre AAML 78 6 0 05 Jun 2023
From Robustness to Explainability and Back Again Xuanxiang Huang Sasha Rubin 95 10 0 05 Jun 2023
Stable Diffusion is Unstable Chengbin Du Yanxi Li Zhongwei Qiu Chang Xu DiffM 116 18 0 05 Jun 2023
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy Xiaoting Li Ling-Hao Chen Dinghao Wu AAML SILM 66 6 0 04 Jun 2023
Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method Yifei Gao Zhi Lin Yunfan Yang Jitao Sang AAML 99 4 0 03 Jun 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations Dou Hu Yinan Bao Lingwei Wei Wei Zhou Song Hu 105 56 0 02 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 62 4 0 02 Jun 2023
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations Yang Sui Zhuohang Li Ding Ding Xiang Pan Xiaozhong Xu Shan Liu Zhenzhong Chen AAML 38 4 0 01 Jun 2023
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models Mirazul Haque Rutvij J. Shah Simin Chen Berrak cSicsman Cong Liu Wei Yang AuLLM AAML 62 7 0 01 Jun 2023
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach Mohammed Alkhowaiter Hisham A. Kholidy Mnassar Alyami Abdulmajeed Alghamdi C. Zou AAML 80 8 0 01 Jun 2023
Graph-based methods coupled with specific distributional distances for adversarial attack detection dwight nwaigwe Lucrezia Carboni Martial Mermillod Sophie Achard M. Dojat AAML 72 3 0 31 May 2023
Exploring the Vulnerabilities of Machine Learning and Quantum Machine Learning to Adversarial Attacks using a Malware Dataset: A Comparative Analysis Mst. Shapna Akter Hossain Shahriar Iysa Iqbal M. Hossain M. A. Karim Victor A. Clincy R. Voicu AAML 70 8 0 31 May 2023
NaturalFinger: Generating Natural Fingerprint with Generative Adversarial Networks Kan Yang Kunhao Lai AAML 88 0 0 29 May 2023
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness Zhan Hu Jun Zhu Bo Zhang Xiaolin Hu AAML 72 2 0 28 May 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 134 4 0 27 May 2023
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection Nils Palumbo Yang Guo Xi Wu Jiefeng Chen Yingyu Liang S. Jha AAML 113 0 0 27 May 2023
A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation Zhiyi Xue Si Liu Zhaodi Zhang Yiting Wu Hao Fei AAML 61 2 0 26 May 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability Haotian Xue Alexandre Araujo Bin Hu Yongxin Chen DiffM 147 48 0 25 May 2023
Securing Deep Generative Models with Universal Adversarial Signature Yu Zeng Mo Zhou Yuan Xue Vishal M. Patel WIGM 65 12 0 25 May 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score Shuhai Zhang Feng Liu Jiahao Yang Yifan Yang Changsheng Li Bo Han Mingkui Tan DiffM AAML 60 18 0 25 May 2023
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation Xianghao Jiao Yao-Tsorng Liu Jiaxin Gao Xinyuan Chu Risheng Liu Xin-Yue Fan VLM 90 6 0 25 May 2023
Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics E. Shumitskaya Anastasia Antsiferova D. Vatolin 75 7 0 24 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang Xiaohu Yang Chen-Dong Duan Hang Su Jun Zhu 154 60 0 24 May 2023
AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness Ziuhi Wu Haichang Gao Bingqian Zhou Ping Wang AAML 70 0 0 24 May 2023
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems Guangke Chen Yedi Zhang Zhe Zhao Fu Song AAML 71 14 0 23 May 2023
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection Jiang-Long Liu Chun Pong Lau Ramalingam Chellappa DiffM 80 32 0 23 May 2023
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning Haiwei Wu Jiantao Zhou Shile Zhang 212 30 0 23 May 2023
Adversarial Defenses via Vector Quantization Zhiyi Dong Yongyi Mao AAML 74 1 0 23 May 2023
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space Bo Zheng DiffM 99 1 0 22 May 2023
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks Simin Li Shuing Zhang Gujun Chen Dong Wang Pu Feng Jiakai Wang Aishan Liu Xin Yi Xianglong Liu AAML 65 18 0 22 May 2023
FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign Kunkun Li Fan Zhang Wei Guo AAML 29 4 0 22 May 2023
Multi-Task Models Adversarial Attacks Lijun Zhang Xiao Liu Kaleel Mahmood Caiwen Ding Hui Guan AAML 91 0 0 20 May 2023
DAP: A Dynamic Adversarial Patch for Evading Person Detectors Amira Guesmi Ruitian Ding Muhammad Abdullah Hanif Ihsen Alouani Mohamed Bennai AAML 116 28 0 19 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 122 64 0 18 May 2023
Attacking Perceptual Similarity Metrics Abhijay Ghildyal Feng Liu AAML 97 10 0 15 May 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 68 1 0 15 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen Hechang Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 116 73 0 14 May 2023
Improving Defensive Distillation using Teacher Assistant Maniratnam Mandal Suna Gao AAML 18 0 0 14 May 2023
On enhancing the robustness of Vision Transformers: Defensive Diffusion Raza Imam Muhammad Huzaifa Mohammed El-Amine Azz MedIm DiffM 120 5 0 14 May 2023
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 77 10 0 12 May 2023
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation Jenny Schmalfuss Lukas Mehl Andrés Bruhn AAML 67 17 0 11 May 2023
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions George J. Siedel Weijia Shao S. Vock Andrey Morozov 59 1 0 09 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 67 3 0 08 May 2023