Domain Adaptation for Time series Transformers using One-step fine-tuningSubina KhanalSeshu Tirupathiet al.2024AAAI 2024
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model ResilienceJanvi ThakkarGiulio Zizzoet al.2024AAAI 2024
Differentially Private and Adversarially Robust Machine Learning: An Empirical EvaluationJanvi ThakkarGiulio Zizzoet al.2024AAAI 2024
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append AttacksDaniel GibertGiulio Zizzoet al.2023CCS 2023
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAIAmbrish RawatStefan Schoepfet al.2024NeurIPS 2024
Federated Continual Learning with Differentially Private Data SharingGiulio ZizzoAmbrish Rawatet al.2022NeurIPS 2022
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt AttacksGiandomenico CornacchiaKieran Fraseret al.2024AIES 2024
Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized SmoothingDaniel GibertGiulio Zizzoet al.2023ESORICS 2023