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ORCID15th AISec@CCS 2022: Los Angeles, CA, USA
- Ambra Demontis, Xinyun Chen, Florian Tramèr:
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, AISec 2022, Los Angeles, CA, USA, 11 November 2022. ACM 2022, ISBN 978-1-4503-9880-0 - Mauro Conti
, Jiaxin Li, Stjepan Picek, Jing Xu:
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks. 1-12 - Federico Mazzone, Leander van den Heuvel, Maximilian Huber, Cristian Verdecchia, Maarten H. Everts, Florian Hahn, Andreas Peter:
Repeated Knowledge Distillation with Confidence Masking to Mitigate Membership Inference Attacks. 13-24 - Zhifeng Kong, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Forgeability and Membership Inference Attacks. 25-31 - Vishnu Asutosh Dasu, Sumanta Sarkar, Kalikinkar Mandal:
PROV-FL: Privacy-preserving Round Optimal Verifiable Federated Learning. 33-44 - Raksha Ramakrishna, György Dán:
Inferring Class-Label Distribution in Federated Learning. 45-56 - Lin Li, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang:
Video is All You Need: Attacking PPG-based Biometric Authentication. 57-66 - Kim André Midtlid, Johannes Åsheim, Jingyue Li:
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification. 67-77 - Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger:
Assessing the Impact of Transformations on Physical Adversarial Attacks. 79-90 - Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal:
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. 91-102 - Mohammad Maghsoudimehrabani, Amin Azmoodeh, Ali Dehghantanha, Behrouz Zolfaghari, Gautam Srivastava:
Proactive Detection of Query-based Adversarial Scenarios in NLP Systems. 103-113 - Tarini Saka, Kami Vaniea, Nadin Kökciyan:
Context-Based Clustering to Mitigate Phishing Attacks. 115-126 - Dmitrijs Trizna:
Quo Vadis: Hybrid Machine Learning Meta-Model Based on Contextual and Behavioral Malware Representations. 127-136 - Stuart Millar, Denis Podgurskii, Dan Kuykendall, Jesús Martínez del Rincón, Paul Miller:
Optimising Vulnerability Triage in DAST with Deep Learning. 137-147 - Andy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster, Melody Wolk:
Bridging Automated to Autonomous Cyber Defense: Foundational Analysis of Tabular Q-Learning. 149-159
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