Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy Yuankun Zhu Yueqiang Cheng Husheng Zhou Yantao Lu MIACV AAML 39 99 0 23 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models Cassidy Laidlaw Sahil Singla S. Feizi AAML OOD 29 182 0 22 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores Madan Ravi Ganesh Dawsin Blanchard Jason J. Corso Salimeh Yasaei Sekeh 14 10 0 22 Jun 2020
Learning to Generate Noise for Multi-Attack Robustness Divyam Madaan Jinwoo Shin Sung Ju Hwang NoLa AAML 25 25 0 22 Jun 2020
Interpretation of 3D CNNs for Brain MRI Data Classification M. Kan Ruslan Aliev́ A. Rudenko Nikita Drobyshev Nikita Petrashen E. Kondrateva M. Sharaev A. Bernstein E. Burnaev DiffM 8 0 0 20 Jun 2020
How do SGD hyperparameters in natural training affect adversarial robustness? Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 6 3 0 20 Jun 2020
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples J. O. Caro Yilong Ju Ryan Pyle Sourav Dey Wieland Brendel Fabio Anselmi Ankit B. Patel AAML 22 10 0 19 Jun 2020
Adversarial Attacks for Multi-view Deep Models Xuli Sun Shiliang Sun AAML 9 0 0 19 Jun 2020
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples Kaleel Mahmood Deniz Gurevin Marten van Dijk Phuong Ha Nguyen AAML 25 22 0 18 Jun 2020
PEREGRiNN: Penalized-Relaxation Greedy Neural Network Verifier Haitham Khedr James Ferlez Yasser Shoukry AAML 12 5 0 18 Jun 2020
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning Antonios Alexos Konstantinos P. Panousis S. Chatzis OOD AAML 6 3 0 18 Jun 2020
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 22 16 0 17 Jun 2020
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders Bartosz Wójcik P. Morawiecki Marek Śmieja Tomasz Krzy.zek Przemysław Spurek Jacek Tabor GAN 21 13 0 17 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 42 593 0 16 Jun 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang Mengnan Du Ninghao Liu Fan Yang Xia Hu AAML 23 184 0 15 Jun 2020
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks Sarada Krithivasan Sanchari Sen A. Raghunathan AAML 22 1 0 14 Jun 2020
Defensive Approximation: Securing CNNs using Approximate Computing Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML 19 37 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 28 247 0 13 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 23 103 0 12 Jun 2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks Nataniel Ruiz Sarah Adel Bargal Stan Sclaroff AAML 17 11 0 11 Jun 2020
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features K. K. Nakka Mathieu Salzmann AAML 25 6 0 10 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 33 29 0 10 Jun 2020
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption Xu Sun Zhiyuan Zhang Xuancheng Ren Ruixuan Luo Liangyou Li 30 39 0 10 Jun 2020
GAP++: Learning to generate target-conditioned adversarial examples Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 18 8 0 09 Jun 2020
Calibrated neighborhood aware confidence measure for deep metric learning Maryna Karpusha Sunghee Yun István Fehérvári UQCV FedML 27 2 0 08 Jun 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 24 251 0 08 Jun 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit Wangchunshu Zhou Canwen Xu Tao Ge Julian McAuley Ke Xu Furu Wei 17 334 0 07 Jun 2020
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing Vishaal Krishnan Abed AlRahman Al Makdah Fabio Pasqualetti OOD AAML 18 23 0 05 Jun 2020
Robust Face Verification via Disentangled Representations Marius Arvinte Ahmed H. Tewfik S. Vishwanath CVBM 22 1 0 05 Jun 2020
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks Hai Shu Ronghua Shi Qiran Jia Hongtu Zhu Ziqi Chen AAML 13 2 0 05 Jun 2020
Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection Omid Mohamad Nezami Akshay Chaturvedi Mark Dras Utpal Garain AAML ObjD 26 19 0 05 Jun 2020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start Zhuoran Liu Martha Larson DiffM 28 27 0 02 Jun 2020
Perturbation Analysis of Gradient-based Adversarial Attacks Utku Ozbulak Manvel Gasparyan W. D. Neve Arnout Van Messem AAML 8 7 0 02 Jun 2020
A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store Naveen Karunanayake Jathushan Rajasegaran Ashanie Gunathillake Suranga Seneviratne Guillaume Jourjon 14 14 0 02 Jun 2020
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense Jay N. Paranjape R. Dubey Vijendran V. Gopalan AAML 23 2 0 02 Jun 2020
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods Kyungmi Lee A. Chandrakasan ELM AAML 19 3 0 01 Jun 2020
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles Pengyue Wang Yuante Li Shashi Shekhar W. Northrop AAML 18 8 0 01 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla S. Feizi AAML 16 60 0 01 Jun 2020
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training Zheng Xu Ali Shafahi Tom Goldstein AAML 27 2 0 30 May 2020
Monocular Depth Estimators: Vulnerabilities and Attacks Alwyn Mathew Aditya Patra Jimson Mathew AAML MDE 16 9 0 28 May 2020
Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms Mohsen Minaei S Chandra Mouli Mainack Mondal Bruno Ribeiro Aniket Kate 15 9 0 28 May 2020
Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques Han Qiu Yi Zeng Qinkai Zheng Tianwei Zhang Meikang Qiu G. Memmi AAML 34 14 0 27 May 2020
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries M. Seiler Heike Trautmann P. Kerschke AAML 8 0 0 27 May 2020
Effects of Forward Error Correction on Communications Aware Evasion Attacks Matthew DelVecchio Bryse Flowers William C. Headley AAML 8 6 0 27 May 2020
Adaptive Adversarial Logits Pairing Shangxi Wu Jitao Sang Kaiyan Xu Guanhua Zheng Changsheng Xu AAML 14 3 0 25 May 2020
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition Qing Wang Pengcheng Guo Lei Xie AAML 24 57 0 21 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 43 42 0 20 May 2020
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images Yixing Huang Alexander Preuhs M. Manhart G. Lauritsch Andreas Maier MedIm 27 5 0 20 May 2020
Identifying Statistical Bias in Dataset Replication Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Jacob Steinhardt A. Madry 21 50 0 19 May 2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation Sungmin Kang R. Feldt S. Yoo AAML 26 32 0 19 May 2020