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AISec@CCS
2014
2017
2020
2023
2014
2023
Keyphrases
Publications
2023
Benoît Coqueret
,
Mathieu Carbone
,
Olivier Sentieys
,
Gabriel Zaid
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence.
AISec@CCS
(2023)
Amol Khanna
,
Fred Lu
,
Edward Raff
,
Brian Testa
Differentially Private Logistic Regression with Sparse Solutions.
AISec@CCS
(2023)
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)
Theo Chow
,
Zeliang Kan
,
Lorenz Linhardt
,
Lorenzo Cavallaro
,
Daniel Arp
,
Fabio Pierazzi
Drift Forensics of Malware Classifiers.
AISec@CCS
(2023)
Md Asifur Rahman
,
Sarra Alqahtani
Task-Agnostic Safety for Reinforcement Learning.
AISec@CCS
(2023)
Tobias Lorenz
,
Marta Kwiatkowska
,
Mario Fritz
Certifiers Make Neural Networks Vulnerable to Availability Attacks.
AISec@CCS
(2023)
Florian A. Hölzl
,
Daniel Rueckert
,
Georgios Kaissis
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models.
AISec@CCS
(2023)
Daniel Gibert
,
Giulio Zizzo
,
Quan Le
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks.
AISec@CCS
(2023)
Robert J. Joyce
,
Tirth Patel
,
Charles Nicholas
,
Edward Raff
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora.
AISec@CCS
(2023)
Elizabeth Bates
,
Vasilios Mavroudis
,
Chris Hicks
Reward Shaping for Happier Autonomous Cyber Security Agents.
AISec@CCS
(2023)
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)
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, AISec 2023, Copenhagen, Denmark, 30 November 2023
AISec@CCS
(2023)
Rajesh Kumar
,
Can Isik
,
Chilukuri Krishna Mohan
Dictionary Attack on IMU-based Gait Authentication.
AISec@CCS
(2023)
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)
Luke E. Richards
,
Edward Raff
,
Cynthia Matuszek
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition.
AISec@CCS
(2023)
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)
Tomás Chobola
,
Dmitrii Usynin
,
Georgios Kaissis
Membership Inference Attacks Against Semantic Segmentation Models.
AISec@CCS
(2023)
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)
Reza Nasirigerdeh
,
Daniel Rueckert
,
Georgios Kaissis
Utility-preserving Federated Learning.
AISec@CCS
(2023)
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)
Tian Hui
,
Farhad Farokhi
,
Olga Ohrimenko
Information Leakage from Data Updates in Machine Learning Models.
AISec@CCS
(2023)
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)
2022
Raksha Ramakrishna
,
György Dán
Inferring Class-Label Distribution in Federated Learning.
AISec@CCS
(2022)
Paul Andrei Sava
,
Jan-Philipp Schulze
,
Philip Sperl
,
Konstantin Böttinger
Assessing the Impact of Transformations on Physical Adversarial Attacks.
AISec@CCS
(2022)
Vishnu Asutosh Dasu
,
Sumanta Sarkar
,
Kalikinkar Mandal
PROV-FL: Privacy-preserving Round Optimal Verifiable Federated Learning.
AISec@CCS
(2022)
Dmitrijs Trizna
Quo Vadis: Hybrid Machine Learning Meta-Model Based on Contextual and Behavioral Malware Representations.
AISec@CCS
(2022)
Lin Li
,
Chao Chen
,
Lei Pan
,
Jun Zhang
,
Yang Xiang
Video is All You Need: Attacking PPG-based Biometric Authentication.
AISec@CCS
(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)
Zhifeng Kong
,
Amrita Roy Chowdhury
,
Kamalika Chaudhuri
Forgeability and Membership Inference Attacks.
AISec@CCS
(2022)
Tong Wu
,
Tianhao Wang
,
Vikash Sehwag
,
Saeed Mahloujifar
,
Prateek Mittal
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation.
AISec@CCS
(2022)
Kim André Midtlid
,
Johannes Åsheim
,
Jingyue Li
Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification.
AISec@CCS
(2022)
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, AISec 2022, Los Angeles, CA, USA, 11 November 2022
AISec@CCS
(2022)
Stuart Millar
,
Denis Podgurskii
,
Dan Kuykendall
,
Jesús Martínez del Rincón
,
Paul Miller
Optimising Vulnerability Triage in DAST with Deep Learning.
AISec@CCS
(2022)
Tarini Saka
,
Kami Vaniea
,
Nadin Kökciyan
Context-Based Clustering to Mitigate Phishing Attacks.
AISec@CCS
(2022)
Mohammad Maghsoudimehrabani
,
Amin Azmoodeh
,
Ali Dehghantanha
,
Behrouz Zolfaghari
,
Gautam Srivastava
Proactive Detection of Query-based Adversarial Scenarios in NLP Systems.
AISec@CCS
(2022)
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)
Mauro Conti
,
Jiaxin Li
,
Stjepan Picek
,
Jing Xu
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks.
AISec@CCS
(2022)
2021
Tom Ganz
,
Martin Härterich
,
Alexander Warnecke
,
Konrad Rieck
Explaining Graph Neural Networks for Vulnerability Discovery.
AISec@CCS
(2021)
Kalle Kujanpää
,
Willie Victor
,
Alexander Ilin
Automating Privilege Escalation with Deep Reinforcement Learning.
AISec@CCS
(2021)
Nicholas Carlini
Session details: Session 2A: Machine Learning for Cybersecurity.
AISec@CCS
(2021)
Aviv Yehezkel
,
Eyal Elyashiv
,
Or Soffer
Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization.
AISec@CCS
(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)
Ambra Demontis
Session details: Session 2B: Machine Learning for Cybersecurity.
AISec@CCS
(2021)
Robert J. Joyce
,
Edward Raff
,
Charles Nicholas
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels.
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)
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)
AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, Virtual Event, Republic of Korea, 15 November 2021
AISec@CCS
(2021)
Zeliang Kan
,
Feargus Pendlebury
,
Fabio Pierazzi
,
Lorenzo Cavallaro
Investigating Labelless Drift Adaptation for Malware Detection.
AISec@CCS
(2021)
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)
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)