Abstract is missing.
- Label-Only Membership Inference Attack against Node-Level Graph Neural NetworksMauro Conti, Jiaxin Li, Stjepan Picek, Jing Xu. 1-12 [doi]
- Repeated Knowledge Distillation with Confidence Masking to Mitigate Membership Inference AttacksFederico Mazzone, Leander van den Heuvel, Maximilian Huber, Cristian Verdecchia, Maarten H. Everts, Florian Hahn 0004, Andreas Peter. 13-24 [doi]
- Forgeability and Membership Inference AttacksZhifeng Kong, Amrita Roy Chowdhury 0001, Kamalika Chaudhuri. 25-31 [doi]
- PROV-FL: Privacy-preserving Round Optimal Verifiable Federated LearningVishnu Asutosh Dasu, Sumanta Sarkar, Kalikinkar Mandal. 33-44 [doi]
- Inferring Class-Label Distribution in Federated LearningRaksha Ramakrishna, György Dán. 45-56 [doi]
- Video is All You Need: Attacking PPG-based Biometric AuthenticationLin Li, Chao Chen 0015, Lei Pan 0002, Jun Zhang 0010, Yang Xiang 0001. 57-66 [doi]
- Magnitude Adversarial Spectrum Search-based Black-box Attack against Image ClassificationKim André Midtlid, Johannes Åsheim, Jingyue Li. 67-77 [doi]
- Assessing the Impact of Transformations on Physical Adversarial AttacksPaul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger. 79-90 [doi]
- Just Rotate it: Deploying Backdoor Attacks via Rotation TransformationTong Wu, Tianhao Wang 0021, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal. 91-102 [doi]
- Proactive Detection of Query-based Adversarial Scenarios in NLP SystemsMohammad Maghsoudimehrabani, Amin Azmoodeh, Ali Dehghantanha, Behrouz Zolfaghari, Gautam Srivastava. 103-113 [doi]
- Context-Based Clustering to Mitigate Phishing AttacksTarini Saka, Kami Vaniea, Nadin Kökciyan. 115-126 [doi]
- Quo Vadis: Hybrid Machine Learning Meta-Model Based on Contextual and Behavioral Malware RepresentationsDmitrijs Trizna. 127-136 [doi]
- Optimising Vulnerability Triage in DAST with Deep LearningStuart Millar, Denis Podgurskii, Dan Kuykendall, Jesús Martínez del Rincón, Paul Miller 0003. 137-147 [doi]
- Bridging Automated to Autonomous Cyber Defense: Foundational Analysis of Tabular Q-LearningAndy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster, Melody Wolk. 149-159 [doi]