• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 15 matches

• 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]