• 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 235 matches

• 2024
• 
  Meenatchi Sundaram Muthu Selva Annamalai:
  It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss. AISec@CCS 2024: 24-30
• 
  Giovanni Apruzzese, Aurore Fass, Fabio Pierazzi:
  When Adversarial Perturbations meet Concept Drift: An Exploratory Analysis on ML-NIDS. AISec@CCS 2024: 149-160
• 
  Sayed Erfan Arefin, Abdul Serwadda:
  Music to My Ears: Turning GPU Sounds into Intellectual Property Gold. AISec@CCS 2024: 196-207
• 
  Christian Bungartz, Felix Boes, Michael Meier, Marc Ohm:
  Towards Robust, Explainable, and Privacy-Friendly Sybil Detection. AISec@CCS 2024: 161-172
• 
  Alberto Castagnaro, Mauro Conti, Luca Pajola:
  Offensive AI: Enhancing Directory Brute-forcing Attack with the Use of Language Models. AISec@CCS 2024: 184-195
• 
  Maor Biton Dor, Yisroel Mirsky:
  Efficient Model Extraction via Boundary Sampling. AISec@CCS 2024: 1-11
• 
  Nadav Gat, Mahmood Sharif:
  Harmful Bias: A General Label-Leakage Attack on Federated Learning from Bias Gradients. AISec@CCS 2024: 31-41
• 
  Jiankai Jin, Olga Ohrimenko, Benjamin I. P. Rubinstein:
  Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness. AISec@CCS 2024: 53-64
• 
  Shashwat Kumar, Francis Hahn, Stuart Millar, Xinming Ou:
  Using LLM Embeddings with Similarity Search for Botnet TLS Certificate Detection. AISec@CCS 2024: 173-183
• 
  Leo Hyun Park, Jaeuk Kim, Myung Gyo Oh, Jaewoo Park, Taekyoung Kwon:
  Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training. AISec@CCS 2024: 101-112
• 
  Dario Pasquini, Martin Strohmeier, Carmela Troncoso:
  Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks. AISec@CCS 2024: 89-100
• 
  Camila Roa, Maria Mahbub, Sudarshan Srinivasan, Edmon Begoli, Amir Sadovnik:
  Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models. AISec@CCS 2024: 42-52
• 
  Coen Schoof, Stefanos Koffas, Mauro Conti, Stjepan Picek:
  EmoBack: Backdoor Attacks Against Speaker Identification Using Emotional Prosody. AISec@CCS 2024: 137-148
• 
  Ryan Swope, Amol Khanna, Philip Doldo, Saptarshi Roy, Edward Raff:
  Feature Selection from Differentially Private Correlations. AISec@CCS 2024: 12-23
• 
  Behrad Tajalli, Stefanos Koffas, Gorka Abad, Stjepan Picek:
  ELMs Under Siege: A Study on Backdoor Attacks on Extreme Learning Machines. AISec@CCS 2024: 125-136
• 
  Zebin Yun, Achi-Or Weingarten, Eyal Ronen, Mahmood Sharif:
  The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations. AISec@CCS 2024: 113-124
• 
  Qi Zhao, Christian Wressnegger:
  Adversarially Robust Anti-Backdoor Learning. AISec@CCS 2024: 77-88
• 
  Yuxuan Zhu, Michael Mandulak, Kerui Wu, George M. Slota, Yuseok Jeon, Ka-Ho Chow, Lei Yu:
  On the Robustness of Graph Reduction Against GNN Backdoor. AISec@CCS 2024: 65-76
• 
  Maura Pintor, Xinyun Chen, Matthew Jagielski:
  Proceedings of the 2024 Workshop on Artificial Intelligence and Security, AISec 2024, Salt Lake City, UT, USA, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-1228-9 [contents]
• 2023
• 
  Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
  Certifiers Make Neural Networks Vulnerable to Availability Attacks. AISec@CCS 2023: 67-78
• 
  Sahar Abdelnabi, Kai Greshake, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz:
  Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. AISec@CCS 2023: 79-90
• 
  Elizabeth Bates, Vasilios Mavroudis, Chris Hicks:
  Reward Shaping for Happier Autonomous Cyber Security Agents. AISec@CCS 2023: 221-232
• 
  Dudi Biton, Aditi Misra, Efrat Levy, Jaidip Kotak, Ron Bitton, Roei Schuster, Nicolas Papernot, Yuval Elovici, Ben Nassi:
  The Adversarial Implications of Variable-Time Inference. AISec@CCS 2023: 103-114
• 
  Tomás Chobola, Dmitrii Usynin, Georgios Kaissis:
  Membership Inference Attacks Against Semantic Segmentation Models. AISec@CCS 2023: 43-53
• 
  Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi:
  Drift Forensics of Malware Classifiers. AISec@CCS 2023: 197-207
• 
  Benoît Coqueret, Mathieu Carbone, Olivier Sentieys, Gabriel Zaid:
  When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence. AISec@CCS 2023: 127-138
• 
  Mario D'Onghia, Federico Di Cesare, Luigi Gallo, Michele Carminati, Mario Polino, Stefano Zanero:
  Lookin' Out My Backdoor! Investigating Backdooring Attacks Against DL-driven Malware Detectors. AISec@CCS 2023: 209-220
• 
  Daniel Gibert, Giulio Zizzo, Quan Le:
  Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. AISec@CCS 2023: 173-184
• 
  Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson:
  Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. AISec@CCS 2023: 91-101
• 
  Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis:
  Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models. AISec@CCS 2023: 11-22

skipping 205 more matches