Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition Ludwig Kurzinger Edgar Ricardo Chavez Rosas Lujun Li Tobias Watzel Gerhard Rigoll AAML 19 4 0 21 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding Nupur Thakur Baoxin Li AAML 24 3 0 20 Jul 2020
DiffRNN: Differential Verification of Recurrent Neural Networks Sara Mohammadinejad Brandon Paulsen Chao Wang Jyotirmoy V. Deshmukh 30 12 0 20 Jul 2020
Robust Tracking against Adversarial Attacks Shuai Jia Chao Ma Yibing Song Xiaokang Yang AAML 28 48 0 20 Jul 2020
Exploiting vulnerabilities of deep neural networks for privacy protection Ricardo Sánchez-Matilla C. Li Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML PICV 13 24 0 19 Jul 2020
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency Shasha Li Shitong Zhu Sudipta Paul Amit K. Roy-Chowdhury Chengyu Song S. Krishnamurthy A. Swami Kevin S. Chan AAML 8 34 0 19 Jul 2020
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering Ruixue Tang Chao Ma W. Zhang Qi Wu Xiaokang Yang OOD 31 48 0 19 Jul 2020
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense Sayeed Shafayet Chowdhury Kaji Mejbaul Islam Rouhan Noor AAML 26 3 0 17 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 39 17 0 17 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 12 33 0 16 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 28 13 0 16 Jul 2020
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels Wenjie Wan Zhaodi Zhang Yiwei Zhu Min Zhang Fu Song AAML 13 8 0 16 Jul 2020
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack Yupeng Cheng Qing Guo Felix Juefei Xu Wei Feng Shang-Wei Lin Weisi Lin Yang Liu AAML 38 46 0 14 Jul 2020
Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations Rui Zhu Bo Lin Haixu Tang MLT 18 4 0 14 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 32 137 0 14 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 32 128 0 13 Jul 2020
CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness Nick A. Phillips Pranav Rajpurkar Mark Sabini R. Krishnan Sharon Zhou ... Mudit Jain Nguyen Duong Du Steven QH Truong A. Ng M. Lungren MedIm 33 13 0 13 Jul 2020
Probabilistic Jacobian-based Saliency Maps Attacks Théo Combey António Loison Maxime Faucher H. Hajri AAML 21 19 0 12 Jul 2020
Improved Detection of Adversarial Images Using Deep Neural Networks Yutong Gao Yi-Lun Pan AAML 10 3 0 10 Jul 2020
Generating Adversarial Inputs Using A Black-box Differential Technique J. Matos Lucas C. Cordeiro Marcelo d’Amorim Xiaowei Huang AAML 8 0 0 10 Jul 2020
Improving Adversarial Robustness by Enforcing Local and Global Compactness Anh-Vu Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML 20 24 0 10 Jul 2020
Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs Rana Abou-Khamis Ashraf Matrawy AAML 41 46 0 08 Jul 2020
On the relationship between class selectivity, dimensionality, and robustness Matthew L. Leavitt Ari S. Morcos 18 6 0 08 Jul 2020
Quaternion Capsule Networks B. Özcan Furkan Kinli Mustafa Furkan Kıraç 3DPC 20 6 0 08 Jul 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations Giulio Lovisotto H.C.M. Turner Ivo Sluganovic Martin Strohmeier Ivan Martinovic AAML 19 101 0 08 Jul 2020
RobFR: Benchmarking Adversarial Robustness on Face Recognition Xiao Yang Dingcheng Yang Yinpeng Dong Hang Su Wenjian Yu Jun Zhu AAML 82 14 0 08 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 23 57 0 08 Jul 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 22 32 0 08 Jul 2020
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability Utku Ozbulak Jonathan Peck W. D. Neve Bart Goossens Yvan Saeys Arnout Van Messem AAML 17 2 0 07 Jul 2020
On Data Augmentation and Adversarial Risk: An Empirical Analysis Hamid Eghbalzadeh Khaled Koutini Paul Primus Verena Haunschmid Michal Lewandowski Werner Zellinger Bernhard A. Moser Gerhard Widmer AAML 20 9 0 06 Jul 2020
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML 34 12 0 05 Jul 2020
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers Yuting Liang Reza Samavi AAML 12 2 0 03 Jul 2020
Generating Adversarial Examples with Controllable Non-transferability Renzhi Wang Tianwei Zhang Xiaofei Xie Lei Ma Cong Tian Felix Juefei Xu Yang Liu SILM AAML 17 3 0 02 Jul 2020
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Ines Goicoechea-Telleria Raul Orduna Urrutia AAML 22 5 0 02 Jul 2020
Query-Free Adversarial Transfer via Undertrained Surrogates Chris Miller Soroush Vosoughi AAML 14 0 0 01 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 19 38 0 01 Jul 2020
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks Kishor Datta Gupta Zahid Akhtar D. Dasgupta AAML 27 9 0 01 Jul 2020
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications Eric Wong Tim Schneider Joerg Schmitt Frank R. Schmidt J. Zico Kolter AAML 40 8 0 30 Jun 2020
Generating Adversarial Examples with an Optimized Quality Aminollah Khormali Daehun Nyang David A. Mohaisen AAML 8 1 0 30 Jun 2020
Biologically Inspired Mechanisms for Adversarial Robustness M. V. Reddy Andrzej Banburski Nishka Pant T. Poggio AAML 26 46 0 29 Jun 2020
Geometry-Inspired Top-k Adversarial Perturbations Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets AAML 17 10 0 28 Jun 2020
Learning Goals from Failure Dave Epstein Carl Vondrick 10 3 0 28 Jun 2020
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications Yunfei Song Tian Liu Tongquan Wei Xiangfeng Wang Zhe Tao Mingsong Chen 14 48 0 28 Jun 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 14 14 0 26 Jun 2020
Orthogonal Deep Models As Defense Against Black-Box Attacks M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian AAML 22 11 0 26 Jun 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 23 42 0 24 Jun 2020
Bit Error Robustness for Energy-Efficient DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele MQ 28 1 0 24 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 26 99 0 23 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 18 137 0 23 Jun 2020
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