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Keyword

deep learning security

Description: The study and practice of protecting deep learning systems from attacks, vulnerabilities, and privacy risks throughout their development and use.
OpenAlex ID: keywords/deep-learning-security
How To Backdoor Federated Learning
2018 · Bagdasaryan, Eugene, Veit, Andreas, et al. · arXiv (Cornell University) · 1,494
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Wild patterns: Ten years after the rise of adversarial machine learning
2018 · Battista Biggio, Fabio Roli · Pattern Recognition · 1,431
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Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
2017 · Chen, Xinyun, Liu, Chang, et al. · arXiv (Cornell University) · 1,039
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MagNet
2017 · Dongyu Meng, Hao Chen · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 1,007
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
2017 · Luis Muñoz-González, Battista Biggio, et al. · ACM Workshop on Artificial Intelligence and Security (AISec) · 549
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Adversarial Attacks and Defences: A Survey
2018 · Chakraborty, Anirban, Alam, Manaar, et al. · arXiv (Cornell University) · 479
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A survey on adversarial attacks and defences
2021 · Anirban Chakraborty, Manaar Alam, et al. · CAAI Transactions on Intelligence Technology · 416
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A New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning
2019 · M. Barni, K. Kallas, et al. · Proceedings - International Conference on Image Processing · 358
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Adversarial Attacks Against Network Intrusion Detection in IoT Systems
2020 · Han Qiu, Tian Dong, et al. · IEEE Internet of Things Journal · 332
Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples.
2016 · Nicolas Papernot, Patrick McDaniel, et al. · arXiv (Cornell University) · 286
Privacy and Security Issues in Deep Learning: A Survey
2020 · Ximeng Liu, Lehui Xie, et al. · IEEE Access · 282
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Analyzing Adversarial Attacks against Deep Learning for Intrusion Detection in IoT Networks
2019 · Olakunle Ibitoye, Omair Shafiq, et al. · Globecom · 280
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SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
2020 · Edward Chou, Florian Tramer, et al. · IEEE Security and Privacy Workshops (SPW) · 276
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Machine learning in cybersecurity: a comprehensive survey
2020 · Dipankar Dasgupta, Zahid Akhtar, et al. · The Journal of Defense Modeling and Simulation Applications Methodology Technology · 261
Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices
2020 · Abdur Rahman, M. Shamim Hossain, et al. · IEEE Internet of Things Journal · 227
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Backdoor Attacks Against Deep Learning Systems in the Physical World
2021 · Emily Wenger, Josephine Passananti, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 222
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Input-Aware Dynamic Backdoor Attack
2020 · Nguyen, Anh, Tran, Anh · arXiv (Cornell University) · 221
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Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors
2021 · Dongqi Han, Zhiliang Wang, et al. · IEEE Journal on Selected Areas in Communications · 193
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Rethinking the Backdoor Attacks’ Triggers: A Frequency Perspective
2021 · Yi Zeng, Won Park, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 192
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Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
2021 · Yao Deng, Tiehua Zhang, et al. · IEEE Transactions on Industrial Informatics · 191
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Adversarial Attacks and Defenses for Deep-Learning-Based Unmanned Aerial Vehicles
2021 · Jiwei Tian, Buhong Wang, et al. · IEEE Internet of Things Journal · 190
Adversarial Machine Learning in Image Classification: A Survey Toward the Defender’s Perspective
2021 · Gabriel Resende Machado, Eugênio Silva, et al. · ACM Computing Surveys · 181
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Blind Backdoors in Deep Learning Models
2020 · Bagdasaryan, Eugene, Shmatikov, Vitaly · arXiv (Cornell University) · 175
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Model-Reuse Attacks on Deep Learning Systems
2018 · Yujie Ji, Xinyang Zhang, et al. · ACM SIGSAC Conference on Computer and Communications Security (CCS) · 175
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Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity
2022 · Shuai Zhou, Chi Liu, et al. · ACM Computing Surveys · 153
Works count: 933
Citation count: 18,520
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