- Tian Hui
, Farhad Farokhi, Olga Ohrimenko:
Information Leakage from Data Updates in Machine Learning Models. AISec@CCS 2023: 35-41 - Erik Imgrund, Tom Ganz, Martin Härterich, Lukas Pirch, Niklas Risse, Konrad Rieck:
Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. AISec@CCS 2023: 149-160 - Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff:
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. AISec@CCS 2023: 185-196 - Amol Khanna, Fred Lu, Edward Raff, Brian Testa:
Differentially Private Logistic Regression with Sparse Solutions. AISec@CCS 2023: 1-9 - Rajesh Kumar, Can Isik, Chilukuri Krishna Mohan:
Dictionary Attack on IMU-based Gait Authentication. AISec@CCS 2023: 115-126 - Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa:
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. AISec@CCS 2023: 23-33 - Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide Balzarotti, Battista Biggio:
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors. AISec@CCS 2023: 233-244 - Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis:
Utility-preserving Federated Learning. AISec@CCS 2023: 55-65 - Md Asifur Rahman, Sarra M. Alqahtani:
Task-Agnostic Safety for Reinforcement Learning. AISec@CCS 2023: 139-148 - Luke E. Richards, Edward Raff, Cynthia Matuszek:
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition. AISec@CCS 2023: 161-171 - Maura Pintor, Xinyun Chen, Florian Tramèr:
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, AISec 2023, Copenhagen, Denmark, 30 November 2023. ACM 2023 [contents] - 2022
- 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. AISec@CCS 2022: 149-159 - Mauro Conti, Jiaxin Li, Stjepan Picek, Jing Xu:
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks. AISec@CCS 2022: 1-12 - Vishnu Asutosh Dasu, Sumanta Sarkar, Kalikinkar Mandal:
PROV-FL: Privacy-preserving Round Optimal Verifiable Federated Learning. AISec@CCS 2022: 33-44 - Zhifeng Kong, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Forgeability and Membership Inference Attacks. AISec@CCS 2022: 25-31 - Lin Li, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang:
Video is All You Need: Attacking PPG-based Biometric Authentication. AISec@CCS 2022: 57-66 - Mohammad Maghsoudimehrabani, Amin Azmoodeh, Ali Dehghantanha, Behrouz Zolfaghari, Gautam Srivastava:
Proactive Detection of Query-based Adversarial Scenarios in NLP Systems. AISec@CCS 2022: 103-113 - 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. AISec@CCS 2022: 13-24 - Kim André Midtlid, Johannes Åsheim, Jingyue Li:
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification. AISec@CCS 2022: 67-77 - Stuart Millar, Denis Podgurskii, Dan Kuykendall, Jesús Martínez del Rincón, Paul Miller:
Optimising Vulnerability Triage in DAST with Deep Learning. AISec@CCS 2022: 137-147 - Raksha Ramakrishna, György Dán:
Inferring Class-Label Distribution in Federated Learning. AISec@CCS 2022: 45-56 - Tarini Saka, Kami Vaniea, Nadin Kökciyan:
Context-Based Clustering to Mitigate Phishing Attacks. AISec@CCS 2022: 115-126 - Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger:
Assessing the Impact of Transformations on Physical Adversarial Attacks. AISec@CCS 2022: 79-90 - Dmitrijs Trizna:
Quo Vadis: Hybrid Machine Learning Meta-Model Based on Contextual and Behavioral Malware Representations. AISec@CCS 2022: 127-136 - Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal:
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. AISec@CCS 2022: 91-102 - 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 [contents] - 2021
- Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro:
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS 2021: 111-122 - Nicholas Carlini:
Session details: Session 1: Adversarial Machine Learning. AISec@CCS 2021 - Nicholas Carlini:
Session details: Session 2A: Machine Learning for Cybersecurity. AISec@CCS 2021 - Yizheng Chen:
Session details: Session 3: Privacy-Preserving Machine Learning. AISec@CCS 2021
