- Ambra Demontis:
Session details: Session 2B: Machine Learning for Cybersecurity. AISec@CCS 2021 - Chinmay Deshpande
, David Gens, Michael Franz:
StackBERT: Machine Learning Assisted Static Stack Frame Size Recovery on Stripped and Optimized Binaries. AISec@CCS 2021: 85-95 - Antreas Dionysiou, Elias Athanasopoulos:
Unicode Evil: Evading NLP Systems Using Visual Similarities of Text Characters. AISec@CCS 2021: 1-12 - Jan Peter Drees, Pritha Gupta, Eyke Hüllermeier, Tibor Jager, Alexander Konze, Claudia Priesterjahn, Arunselvan Ramaswamy, Juraj Somorovsky:
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs! AISec@CCS 2021: 169-180 - Tom Ganz, Martin Härterich, Alexander Warnecke, Konrad Rieck:
Explaining Graph Neural Networks for Vulnerability Discovery. AISec@CCS 2021: 145-156 - Jan Malte Hilgefort, Daniel Arp, Konrad Rieck:
Spying through Virtual Backgrounds of Video Calls. AISec@CCS 2021: 135-144 - Robert J. Joyce, Edward Raff, Charles Nicholas:
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. AISec@CCS 2021: 73-84 - Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro:
Investigating Labelless Drift Adaptation for Malware Detection. AISec@CCS 2021: 123-134 - Kalle Kujanpää, Willie Victor, Alexander Ilin:
Automating Privilege Escalation with Deep Reinforcement Learning. AISec@CCS 2021: 157-168 - Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz:
Differential Privacy Defenses and Sampling Attacks for Membership Inference. AISec@CCS 2021: 193-202 - Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff:
Adversarial Transfer Attacks With Unknown Data and Class Overlap. AISec@CCS 2021: 13-24 - Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao:
Patch-based Defenses against Web Fingerprinting Attacks. AISec@CCS 2021: 97-109 - Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner:
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing. AISec@CCS 2021: 25-36 - Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Catching BadNets in the Wild. AISec@CCS 2021: 49-60 - Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig:
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. AISec@CCS 2021: 181-192 - Aviv Yehezkel, Eyal Elyashiv, Or Soffer:
Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization. AISec@CCS 2021: 61-71 - Zhanyuan Zhang, Yizheng Chen, David A. Wagner:
SEAT: Similarity Encoder by Adversarial Training for Detecting Model Extraction Attack Queries. AISec@CCS 2021: 37-48 - Nicholas Carlini, Ambra Demontis, Yizheng Chen:
AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, Virtual Event, Republic of Korea, 15 November 2021. ACM 2021, ISBN 978-1-4503-8657-9 [contents] - 2020
- An Ju, David A. Wagner:
E-ABS: Extending the Analysis-By-Synthesis Robust Classification Model to More Complex Image Domains. AISec@CCS 2020: 25-36 - Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi:
Where Does the Robustness Come from?: A Study of the Transformation-based Ensemble Defence. AISec@CCS 2020: 1-12 - Carlos Novo, Ricardo Morla:
Flow-based Detection and Proxy-based Evasion of Encrypted Malware C2 Traffic. AISec@CCS 2020: 83-91 - Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt:
Automatic Yara Rule Generation Using Biclustering. AISec@CCS 2020: 71-82 - Esteban Rivera, Lizzy Tengana, Jesus Solano, Alejandra Castelblanco, Christian Lopez, Martín Ochoa:
Risk-based Authentication Based on Network Latency Profiling. AISec@CCS 2020: 105-115 - Alexander Schlögl, Rainer Böhme:
eNNclave: Offline Inference with Model Confidentiality. AISec@CCS 2020: 93-104 - Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson:
Towards Certifiable Adversarial Sample Detection. AISec@CCS 2020: 13-24 - Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Bridget I. Haus, Eva Domschot, Ramyaa, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer:
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis. AISec@CCS 2020: 49-60 - Jesus Solano, Christian Lopez, Esteban Rivera, Alejandra Castelblanco, Lizzy Tengana, Martín Ochoa:
SCRAP: Synthetically Composed Replay Attacks vs. Adversarial Machine Learning Attacks against Mouse-based Biometric Authentication. AISec@CCS 2020: 37-47 - Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly:
The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS 2020: 61-70 - Kota Yoshida, Takeshi Fujino:
Disabling Backdoor and Identifying Poison Data by using Knowledge Distillation in Backdoor Attacks on Deep Neural Networks. AISec@CCS 2020: 117-127 - Jay Ligatti, Xinming Ou:
AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, Virtual Event, USA, 13 November 2020. ACM 2020, ISBN 978-1-4503-8094-2 [contents]
