v1v2 (latest)

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
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 72 16 0 28 Jun 2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML CVBM 79 5 0 25 Jun 2022
On Certifying and Improving Generalization to Unseen Domains Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD 106 4 0 24 Jun 2022
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective Mark Huasong Meng Guangdong Bai Sin Gee Teo Zhe Hou Yan Xiao Yun Lin Jin Song Dong AAML 81 45 0 24 Jun 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems Wen-ming Hou Qianqian Xu Zhiyong Yang Shilong Bao Yuan He Qingming Huang AAML 84 6 0 24 Jun 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 108 5 0 23 Jun 2022
Natural Backdoor Datasets Emily Wenger Roma Bhattacharjee A. Bhagoji Josephine Passananti Emilio Andere Haitao Zheng Ben Y. Zhao AAML 122 5 0 21 Jun 2022
(Certified!!) Adversarial Robustness for Free! Nicholas Carlini Florian Tramèr Krishnamurthy Dvijotham Leslie Rice Mingjie Sun J. Zico Kolter DiffM 119 156 0 21 Jun 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum Junlin Wu Yevgeniy Vorobeychik 81 23 0 21 Jun 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method Keiichiro Yamamura Haruki Sato Nariaki Tateiwa Nozomi Hata Toru Mitsutake Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 98 14 0 20 Jun 2022
On the Limitations of Stochastic Pre-processing Defenses Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 111 32 0 19 Jun 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations Chong Guo Michael J. Lee Guillaume Leclerc Joel Dapello Yug Rao Aleksander Madry J. DiCarlo GAN AAML 57 13 0 19 Jun 2022
Adversarial Robustness is at Odds with Lazy Training Yunjuan Wang Enayat Ullah Poorya Mianjy R. Arora SILM AAML 114 11 0 18 Jun 2022
Landscape Learning for Neural Network Inversion Ruoshi Liu Chen-Guang Mao Purva Tendulkar Hongya Wang Carl Vondrick 98 8 0 17 Jun 2022
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection Jinyin Chen Chengyu Jia Haibin Zheng Ruoxi Chen Chenbo Fu AAML 73 12 0 17 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 83 6 0 16 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 87 20 0 16 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 171 14 0 16 Jun 2022
Adversarial Privacy Protection on Speech Enhancement Mingyu Dong Diqun Yan Rangding Wang AAML 36 2 0 16 Jun 2022
Analysis and Extensions of Adversarial Training for Video Classification K. A. Kinfu René Vidal AAML 91 13 0 16 Jun 2022
Double Sampling Randomized Smoothing Linyi Li Jiawei Zhang Tao Xie Yue Liu AAML 93 25 0 16 Jun 2022
Architectural Backdoors in Neural Networks Mikel Bober-Irizar Ilia Shumailov Yiren Zhao Robert D. Mullins Nicolas Papernot AAML 70 26 0 15 Jun 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 117 27 0 15 Jun 2022
Improving Diversity with Adversarially Learned Transformations for Domain Generalization Tejas Gokhale Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura Chitta Baral Yezhou Yang 82 31 0 15 Jun 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML OODD 39 2 0 15 Jun 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack Ruize Gao Jiongxiao Wang Kaiwen Zhou Feng Liu Binghui Xie Gang Niu Bo Han James Cheng AAML 48 15 0 15 Jun 2022
Human Eyes Inspired Recurrent Neural Networks are More Robust Against Adversarial Noises Minkyu Choi Yizhen Zhang Kuan Han Xiaokai Wang Zhongming Liu AAML GAN 72 4 0 15 Jun 2022
Proximal Splitting Adversarial Attacks for Semantic Segmentation Jérôme Rony J. Pesquet Ismail Ben Ayed AAML 74 23 0 14 Jun 2022
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective M. Serrurier Franck Mamalet Thomas Fel Louis Bethune Thibaut Boissin AAML FAtt 88 6 0 14 Jun 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO Javier Rando Nasib Naimi Thomas Baumann Max Mathys AAML 64 6 0 14 Jun 2022
Adversarial Vulnerability of Randomized Ensembles Hassan Dbouk Naresh R Shanbhag AAML 68 7 0 14 Jun 2022
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training B. Manoj Meysam Sadeghi Erik G. Larsson AAML 67 11 0 14 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 84 12 0 13 Jun 2022
Specifying and Testing $k$ -Safety Properties for Machine-Learning Models M. Christakis Hasan Ferit Eniser Jörg Hoffmann Adish Singla Valentin Wüstholz 56 6 0 13 Jun 2022
Pixel to Binary Embedding Towards Robustness for CNNs Ikki Kishida Hideki Nakayama 140 0 0 13 Jun 2022
Security of Machine Learning-Based Anomaly Detection in Cyber Physical Systems Zahra Jadidi S. Pal Nithesh Nayak K A. Selvakkumar C. Chang Maedeh Beheshti A. Jolfaei AAML 53 11 0 12 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 89 6 0 11 Jun 2022
Defending Adversarial Examples by Negative Correlation Ensemble Wenjian Luo Hongwei Zhang Linghao Kong Zhijian Chen Jiaheng Zhang AAML 42 1 0 11 Jun 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems Shehzeen Samarah Hussain Todd P. Huster Chris Mesterharm Paarth Neekhara Kevin R. An Malhar Jere Harshvardhan Digvijay Sikka F. Koushanfar AAML 92 6 0 09 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 87 2 0 08 Jun 2022
LADDER: Latent Boundary-guided Adversarial Training Xiaowei Zhou Ivor W. Tsang Jie Yin AAML 69 7 0 08 Jun 2022
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Feng Wang Jiashui Wang AAML 110 40 0 07 Jun 2022
Building Robust Ensembles via Margin Boosting Dinghuai Zhang Hongyang R. Zhang Aaron Courville Yoshua Bengio Pradeep Ravikumar A. Suggala AAML UQCV 86 16 0 07 Jun 2022
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples Dongyoon Yang Insung Kong Yongdai Kim OOD AAML 88 10 0 07 Jun 2022
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Yang Liu AAML 104 19 0 07 Jun 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 85 20 0 07 Jun 2022
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning Tom Hickling Nabil Aouf P. Spencer AAML 53 56 0 06 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 97 9 0 06 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training Guodong Cao Peng Kuang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 62 2 0 05 Jun 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 107 11 0 04 Jun 2022