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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

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Title
How Does Adversarial Fine-Tuning Benefit BERT? J. Ebrahimi Hao Yang Wei Zhang AAML 53 4 0 31 Aug 2021
Lipschitz Continuity Guided Knowledge Distillation Yuzhang Shang Bin Duan Ziliang Zong Liqiang Nie Yan Yan 76 29 0 29 Aug 2021
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks Shiwen Ni Jiawen Li Hung-Yu kao AAML 61 4 0 29 Aug 2021
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks Landan Seguin A. Ndirango Neeli Mishra SueYeon Chung Tyler Lee OOD 55 2 0 26 Aug 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du Bo Chen Tat-Jun Chin Yee Wei Law Michele Sasdelli Ramesh Rajasegaran Dillon Campbell AAML 130 63 0 26 Aug 2021
Generalized Real-World Super-Resolution through Adversarial Robustness Angela Castillo María Escobar Juan C. Pérez Andrés Romero Radu Timofte Luc Van Gool Pablo Arbelaez 77 16 0 25 Aug 2021
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications Wenjie Ruan Xinping Yi Xiaowei Huang AAML OOD 52 17 0 24 Aug 2021
Kryptonite: An Adversarial Attack Using Regional Focus Yogesh Kulkarni Krisha Bhambani AAML 70 3 0 23 Aug 2021
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks N. Mirnateghi Syed Afaq Ali Shah Bennamoun BDL AAML 33 2 0 23 Aug 2021
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency Xueping Wang Shasha Li Min Liu Yaonan Wang Amit K. Roy-Chowdhury AAML 79 28 0 23 Aug 2021
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks Haowen Lin Jian Lou Li Xiong Cyrus Shahabi MQ AAML 59 13 0 21 Aug 2021
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy Ruikui Wang Yuanfang Guo Ruijie Yang Yunhong Wang AAML 58 3 0 16 Aug 2021
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks Naresh Gurulingan Elahe Arani Bahram Zonooz 58 7 0 10 Aug 2021
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples Ismail Alkhouri Alvaro Velasquez George Atia AAML GAN 47 1 0 05 Aug 2021
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack Reek Majumder S. Khan Fahim Ahmed Zadid Khan Frank Ngeni G. Comert Judith Mwakalonge Dimitra Michalaka M. Chowdhury AAML 25 14 0 02 Aug 2021
Robustness of convolutional neural networks to physiological ECG noise Jenny Venton P. Harris A. Sundar N. Smith P. Aston 55 26 0 02 Aug 2021
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders Huimin Zeng Jiahao Su Furong Huang AAML 49 4 0 01 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 168 242 0 01 Aug 2021
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework Li Ding Yongwei Wang Xin Ding Kaiwen Yuan Ping Wang Hua Huang Z. J. Wang AAML 52 7 0 31 Jul 2021
T $_k$ ML-AP: Adversarial Attacks to Top- $k$ Multi-Label Learning Shu Hu Lipeng Ke Xin Wang Siwei Lyu VLM AAML 101 34 0 31 Jul 2021
Feature Importance-aware Transferable Adversarial Attacks Peng Kuang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 83 218 0 29 Jul 2021
A Differentiable Language Model Adversarial Attack on Text Classifiers I. Fursov Alexey Zaytsev Pavel Burnyshev Ekaterina Dmitrieva Nikita Klyuchnikov A. Kravchenko Ekaterina Artemova Evgeny Burnaev SILM 71 15 0 23 Jul 2021
Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks Saikat Majumdar Mohammad Hossein Samavatian Kristin Barber R. Teodorescu AAML 40 7 0 20 Jul 2021
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features Hui Liu Bo Zhao Minzhi Ji Yuefeng Peng Jiabao Guo Peng Liu AAML 70 2 0 19 Jul 2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks Ismail Alarab S. Prakoonwit AAML 103 14 0 15 Jul 2021
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning Rakshit Naidu Harshita Diddee Ajinkya Mulay Aleti Vardhan Krithika Ramesh Ahmed S. Zamzam 100 14 0 14 Jul 2021
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning Yihao Huang Qing Guo Felix Juefei Xu Lei Ma Weikai Miao Yang Liu G. Pu AAML 63 15 0 14 Jul 2021
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Anouar Kherchouche Sid Ahmed Fezza W. Hamidouche AAML 80 9 0 12 Jul 2021
Identifying Layers Susceptible to Adversarial Attacks Shoaib Ahmed Siddiqui Thomas Breuel AAML 32 1 0 10 Jul 2021
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations Mohammad Nayeem Teli Se-Ryeong Oh AAML 48 2 0 10 Jul 2021
Controlled Caption Generation for Images Through Adversarial Attacks Nayyer Aafaq Naveed Akhtar Wei Liu M. Shah Ajmal Mian AAML 59 10 0 07 Jul 2021
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning Mathias Löwe Jennifer Villareale Evan Freed Aleksanteri Sladek Jichen Zhu S. Risi AAML 61 5 0 05 Jul 2021
Adversarial Sample Detection for Speaker Verification by Neural Vocoders Haibin Wu Po-Chun Hsu Ji Gao Shanshan Zhang Shen Huang Jian Kang Zhiyong Wu Helen Meng Hung-yi Lee AAML 93 21 0 01 Jul 2021
Scalable Certified Segmentation via Randomized Smoothing Marc Fischer Maximilian Baader Martin Vechev 78 41 0 01 Jul 2021
Explanation-Guided Diagnosis of Machine Learning Evasion Attacks Abderrahmen Amich Birhanu Eshete AAML 50 11 0 30 Jun 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 52 29 0 30 Jun 2021
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations Nikita Muravev Aleksandr Petiushko AAML 58 8 0 28 Jun 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 48 3 0 25 Jun 2021
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space Kalun Ho Franz-Josef Pfreundt J. Keuper Margret Keuper OOD UQCV 59 3 0 23 Jun 2021
DetectX -- Adversarial Input Detection using Current Signatures in Memristive XBar Arrays Abhishek Moitra Priyadarshini Panda AAML 44 6 0 22 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine Soheil Feizi AAML 129 59 0 21 Jun 2021
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization Yibo Zeng Henry Lam 119 8 0 21 Jun 2021
Delving into the pixels of adversarial samples Blerta Lindqvist AAML 37 0 0 21 Jun 2021
ImageNet Pre-training also Transfers Non-Robustness Jiaming Zhang Jitao Sang Qiaomin Yi Yunfan Yang Huiwen Dong Jian Yu 76 3 0 21 Jun 2021
Group-Structured Adversarial Training Farzan Farnia Amirali Aghazadeh James Zou David Tse AAML 154 0 0 18 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness Hossein Aboutalebi M. Shafiee Michelle Karg C. Scharfenberger Alexander Wong AAML 21 1 0 18 Jun 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 89 54 0 18 Jun 2021
Light Lies: Optical Adversarial Attack Kyulim Kim Jeong-Soo Kim Seung-Ri Song Jun-Ho Choi Chul-Min Joo Jong-Seok Lee AAML 61 5 0 18 Jun 2021
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective Lina Wang Xingshu Chen Yulong Wang Yawei Yue Yi Zhu Xuemei Zeng Wei Wang AAML 48 0 0 18 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Yue Liu AAML OffRL 85 61 0 17 Jun 2021