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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,351 papers shown

Title
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification Ali Borji VLM 103 0 0 29 Jan 2023
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid Farhin Farhad Riya Shahinul Hoque Jinyuan Stella Sun Jiangnan Li Hairong Qi Hairong Qi AAML AI4CE 116 0 0 29 Jan 2023
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 92 13 0 28 Jan 2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection Yizhou Wang Can Qin Yue Bai Yi Xu Xu Ma Yun Fu ViT 84 20 0 28 Jan 2023
Semantic Adversarial Attacks on Face Recognition through Significant Attributes Yasmeen M. Khedr Yifeng Xiong Kun He AAML 78 2 0 28 Jan 2023
Vertex-based reachability analysis for verifying ReLU deep neural networks João G. Zago E. Camponogara Eric A. Antonelo AAML 72 2 0 27 Jan 2023
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning Niko A. Grupen M. Hanlon Alexis Hao Daniel D. Lee B. Selman 53 0 0 27 Jan 2023
PCV: A Point Cloud-Based Network Verifier A. Sarker Farzana Yasmin Ahmad Matthew B. Dwyer AAML 3DPC 54 1 0 27 Jan 2023
Single-Trajectory Distributionally Robust Reinforcement Learning Zhipeng Liang Xiaoteng Ma Jose H. Blanchet Jiheng Zhang Zhengyuan Zhou OOD OffRL 86 12 0 27 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 151 44 0 27 Jan 2023
Robust Transformer with Locality Inductive Bias and Feature Normalization Omid Nejati Manzari Hossein Kashiani Hojat Asgarian Dehkordi S. B. Shokouhi ViT 77 15 0 27 Jan 2023
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks Wei Tao Lei Bao Long Sheng Gao-wei Wu Qing Tao AAML 61 1 0 27 Jan 2023
Targeted Attacks on Timeseries Forecasting Yuvaraj Govindarajulu Avinash Amballa Pavan Kulkarni Manojkumar Somabhai Parmar AAML AI4TS 36 6 0 27 Jan 2023
Projected Subnetworks Scale Adaptation Siddhartha Datta N. Shadbolt VLM CLL 90 0 0 27 Jan 2023
Attacking Important Pixels for Anchor-free Detectors Yunxu Xie Shu Hu Xin Wang Quanyu Liao Bin Zhu Xi Wu Siwei Lyu ObjD AAML 80 2 0 26 Jan 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien Cengiz Pehlevan MLT AI4CE 79 6 0 26 Jan 2023
The Power of Linear Combinations: Learning with Random Convolutions Paul Gavrikov J. Keuper 82 2 0 26 Jan 2023
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks David Boetius Stefan Leue Tobias Sutter 67 4 0 26 Jan 2023
Certified Interpretability Robustness for Class Activation Mapping Alex Gu Tsui-Wei Weng Pin-Yu Chen Sijia Liu Lucani E. Daniel AAML 56 2 0 26 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 115 2 0 26 Jan 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Louis Bethune Paul Novello Thibaut Boissin Guillaume Coiffier M. Serrurier Quentin Vincenot Andres Troya-Galvis 101 10 0 26 Jan 2023
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks Ayesha Siddique Ripan Kumar Kundu Gautam Raj Mode K. A. Hoque AAML 62 2 0 25 Jan 2023
On the Adversarial Robustness of Camera-based 3D Object Detection Shaoyuan Xie Zichao Li Zeyu Wang Cihang Xie AAML 86 20 0 25 Jan 2023
A Study on FGSM Adversarial Training for Neural Retrieval Simon Lupart Stéphane Clinchant AAML 87 7 0 25 Jan 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection Mohammad Azizmalayeri Arman Zarei Alireza Isavand M. T. Manzuri M. Rohban OODD 62 0 0 25 Jan 2023
DODEM: DOuble DEfense Mechanism Against Adversarial Attacks Towards Secure Industrial Internet of Things Analytics Onat Gungor Tajana Simunic Baris Aksanli AAML 38 0 0 23 Jan 2023
Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network Ömer Faruk Tuna Fehmí Emre Kadan Leyli Karaçay AAML 63 6 0 23 Jan 2023
Provable Unrestricted Adversarial Training without Compromise with Generalizability Lili Zhang Ning Yang Yanchao Sun Philip S. Yu AAML 84 2 0 22 Jan 2023
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research Fabian Eitel Marc-Andre Schulz Moritz Seiler Henrik Walter K. Ritter AI4CE 86 44 0 20 Jan 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation Utkarsh Nath Yancheng Wang Yingzhen Yang AAML 64 2 0 19 Jan 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations Maximilian Schlüter Gerrit Nolte Alnis Murtovi Bernhard Steffen 75 6 0 19 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 66 4 0 18 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 45 29 0 17 Jan 2023
Adversarial AI in Insurance: Pervasiveness and Resilience E. Luciano Matteo Cattaneo Ron S. Kenett AAML 54 1 0 17 Jan 2023
Meta Generative Attack on Person Reidentification M. I. A V Subramanyam AAML 72 8 0 16 Jan 2023
First Three Years of the International Verification of Neural Networks Competition (VNN-COMP) Christopher Brix Mark Niklas Muller Stanley Bak Taylor T. Johnson Changliu Liu NAI 87 74 0 14 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 106 93 0 13 Jan 2023
On the feasibility of attacking Thai LPR systems with adversarial examples Chissanupong Jiamsuchon Jakapan Suaboot Norrathep Rattanavipanon AAML 48 0 0 13 Jan 2023
Data-centric AI: Perspectives and Challenges Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Helen Zhou 65 71 0 12 Jan 2023
Phase-shifted Adversarial Training Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin AAML OOD 68 0 0 12 Jan 2023
Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis Wei Guo B. Tondi Mauro Barni AAML 65 9 0 11 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 66 6 0 11 Jan 2023
AdvBiom: Adversarial Attacks on Biometric Matchers Debayan Deb Vishesh Mistry Rahul Parthe AAML CVBM 72 3 0 10 Jan 2023
Over-The-Air Adversarial Attacks on Deep Learning Wi-Fi Fingerprinting Fei Xiao Yong Huang Yingying Zuo Wei Kuang Wei Wang AAML 18 5 0 10 Jan 2023
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense Asadullah Hill Galib Bidhan Bashyal SILM AAML 28 4 0 09 Jan 2023
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 93 5 0 09 Jan 2023
Facial Misrecognition Systems: Simple Weight Manipulations Force DNNs to Err Only on Specific Persons I. Zehavi Roee Nitzan A. Shamir AAML CVBM 70 3 0 08 Jan 2023
RobArch: Designing Robust Architectures against Adversarial Attacks Sheng-Hsuan Peng Weilin Xu Cory Cornelius Kevin Wenliang Li Rahul Duggal Duen Horng Chau Jason Martin AAML 57 6 0 08 Jan 2023
AI Maintenance: A Robustness Perspective Pin-Yu Chen Payel Das 84 14 0 08 Jan 2023
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SILM AAML 93 7 0 07 Jan 2023