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Adversarial Machine Learning

https://doi.org/10.1109/mic.2011.112

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Hypothesis Testing in Presence of Adversaries

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A Flexible Poisoning Attack Against Machine Learning

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Distribution-based Adversarial Filter Feature Selection against Evasion Attack

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Adversarial Attacks and Defences of Various Artificial Intelligent Models

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Deep Autoencoder-Based Protection for Malware Detection Models from Adversarially Perturbed Data

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Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning

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Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering

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Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems

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NativE: Multi-modal Knowledge Graph Completion in the Wild

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A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks

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Machine Learning Aspects of the MyShake Global Smartphone Seismic Network

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Lightweight privacy preservation techniques for deep learning and inference in Internet of Things

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Applications in Security and Evasions in Machine Learning: A Survey

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Cyberspace Security Using Adversarial Learning and Conformal Prediction

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Destructive Cyber Operations and Machine Learning

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