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Intrusion Detection for Industrial Control Systems: Evaluation Analysis and Adversarial Attacks., , , and . CoRR, (2019)A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing., , , and . CoRR, (2024)Certified Federated Adversarial Training., , , , and . CoRR, (2021)Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation., , and . CoRR, (2024)Security and Robustness in Federated Learning., , , and . Federated Learning, Springer, (2022)Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models., , , , , and . ACL (1), page 7423-7442. Association for Computational Linguistics, (2023)Deep Latent Defence., , , and . CoRR, (2019)Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks., , , and . CoRR, (2023)Domain Adaptation for Time series Transformers using One-step fine-tuning., , , , and . CoRR, (2024)A Wolf in Sheep's Clothing: Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks., , , and . EuroS&P Workshops, page 415-426. IEEE, (2023)