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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,338 papers shown

Title
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 74 4 0 09 Nov 2022
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation Daniel Kang Tatsunori Hashimoto Ion Stoica Yi Sun 81 15 0 09 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? Saadia Gabriel Hamid Palangi Yejin Choi AAML 91 1 0 08 Nov 2022
Preserving Semantics in Textual Adversarial Attacks David Herel Hugo Cisneros Tomas Mikolov AAML 92 6 0 08 Nov 2022
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study Hongjun Choi Eunyeong Jeon Ankita Shukla Pavan Turaga 58 8 0 08 Nov 2022
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System Zongming Lin Thomas Pike Mark M. Bailey Nathaniel D. Bastian OOD 68 2 0 08 Nov 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations? Li-Cheng Lan Huan Zhang Ti-Rong Wu Meng-Yu Tsai I-Chen Wu Cho-Jui Hsieh AAML 75 11 0 07 Nov 2022
Deviations in Representations Induced by Adversarial Attacks Danielle L Steinberg P. Munro AAML 23 0 0 07 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 57 1 0 07 Nov 2022
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC Ze Chen Kangxu Wang Zijian Cai Jiewen Zheng Jiarong He Max Gao Jason Zhang MoE 57 3 0 07 Nov 2022
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI Rezwan Firuzi Hamed Ahmadyani Mohammad Foad Abdi Dana Naderi Jahanfar Hassan Ayub Bokani AI4CE 101 1 0 07 Nov 2022
Contrastive Weighted Learning for Near-Infrared Gaze Estimation Adam Lee 68 0 0 06 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 84 17 0 05 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 66 2 0 04 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 86 78 0 04 Nov 2022
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning Anaelia Ovalle Evan Czyzycki Cho-Jui Hsieh AAML 18 0 0 04 Nov 2022
Adversarial Defense via Neural Oscillation inspired Gradient Masking Chunming Jiang Yilei Zhang AAML 61 2 0 04 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 148 11 0 03 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples Gaurav Kumar Nayak Ruchit Rawal Inder Khatri Anirban Chakraborty AAML 58 2 0 03 Nov 2022
AdaChain: A Learned Adaptive Blockchain Chenyuan Wu Bhavana Mehta Mohammad Javad Amiri Ryan Marcus B. T. Loo 50 14 0 03 Nov 2022
Data-free Defense of Black Box Models Against Adversarial Attacks Gaurav Kumar Nayak Inder Khatri Ruchit Rawal Anirban Chakraborty AAML 69 1 0 03 Nov 2022
POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks Randall Balestriero Yann LeCun 93 17 0 02 Nov 2022
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming Yun-Ning Hung Chao-Han Huck Yang Pin-Yu Chen Alexander Lerch 100 19 0 02 Nov 2022
Isometric Representations in Neural Networks Improve Robustness Kosio Beshkov Jonas Verhellen M. Lepperød AAML OOD 61 1 0 02 Nov 2022
Dormant Neural Trojans Feisi Fu Panagiota Kiourti Wenchao Li AAML 89 0 0 02 Nov 2022
Human-in-the-Loop Mixup Katherine M. Collins Umang Bhatt Weiyang Liu Vihari Piratla Ilia Sucholutsky Bradley C. Love Adrian Weller 105 9 0 02 Nov 2022
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks Amira Guesmi Ihsen Alouani Khaled N. Khasawneh M. Baklouti T. Frikha Mohamed Abid Nael B. Abu-Ghazaleh AAML OOD 154 2 0 02 Nov 2022
Adversarial Attack on Radar-based Environment Perception Systems Amira Guesmi Ihsen Alouani AAML 64 2 0 02 Nov 2022
LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification Xingqi Chen Jie Wang Xiaoli Zhang Weiqiang Zhang Kunde Yang AAML 116 7 0 02 Nov 2022
Maximum Likelihood Distillation for Robust Modulation Classification Javier Maroto Gérôme Bovet P. Frossard AAML 47 6 0 01 Nov 2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training Junhao Dong Seyed-Mohsen Moosavi-Dezfooli Jianhuang Lai Xiaohua Xie AAML 112 29 0 01 Nov 2022
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness Wenhao Wu Wei Li Jiachen Liu Xinyan Xiao Ziqiang Cao Sujian Li Hua Wu HILM 77 11 0 01 Nov 2022
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks Jianan Zhou Jianing Zhu Jingfeng Zhang Tongliang Liu Gang Niu Bo Han Masashi Sugiyama AAML 45 9 0 01 Nov 2022
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation Tomokatsu Takahashi Masanori Yamada Yuuki Yamanaka Tomoya Yamashita 55 1 0 01 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements A. Ma Nikita Dvornik Ran Zhang Leila Pishdad Konstantinos G. Derpanis Afsaneh Fazly 93 8 0 31 Oct 2022
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization Xiang Li Junchi Yang Niao He 78 9 0 31 Oct 2022
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability Dipkamal Bhusal Rosalyn Shin Ajay Ashok Shewale M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi FAtt AAML 92 5 0 31 Oct 2022
Scoring Black-Box Models for Adversarial Robustness Jian Vora Pranay Reddy Samala 68 0 0 31 Oct 2022
Symmetric Saliency-based Adversarial Attack To Speaker Identification Jiadi Yao Xing Chen Xiao-Lei Zhang Weiqiang Zhang Kunde Yang AAML 76 9 0 30 Oct 2022
Benchmarking Adversarial Patch Against Aerial Detection Jiawei Lian Shaohui Mei Shun Zhang Mingyang Ma AAML 94 58 0 30 Oct 2022
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks Guanqiang Zhou Ping Xu Yue Wang Zhi Tian OOD FedML 67 5 0 29 Oct 2022
Robust Boosting Forests with Richer Deep Feature Hierarchy Jianqiao Wangni 3DPC 65 0 0 29 Oct 2022
Improving Hyperspectral Adversarial Robustness Under Multiple Attacks Nicholas Soucy Salimeh Yasaei Sekeh AAML 22 0 0 28 Oct 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models Mauro Conti Jiaxin Li S. Picek MIALM 74 2 0 28 Oct 2022
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation Fengfan Zhou H. Ling Yuxuan Shi Jiazhong Chen Zongyi Li Ping Li AAML 135 7 0 28 Oct 2022
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 50 0 0 28 Oct 2022
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks Han-Ching Wu Sareh Rowlands Johan Wahlstrom MLAU AAML 138 0 0 28 Oct 2022
Noise Injection Node Regularization for Robust Learning N. Levi I. Bloch M. Freytsis T. Volansky AI4CE 64 2 0 27 Oct 2022
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems Islam Debicha Richard Bauwens Thibault Debatty Jean-Michel Dricot Tayeb Kenaza Wim Mees AAML 69 46 0 27 Oct 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 65 15 0 27 Oct 2022