Search results for "AISec@CCS"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis	Utility-preserving Federated Learning.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Rajesh Kumar, Can Isik, Chilukuri Krishna Mohan	Dictionary Attack on IMU-based Gait Authentication.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Benoît Coqueret, Mathieu Carbone, Olivier Sentieys, Gabriel Zaid	When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis	Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Amol Khanna, Fred Lu, Edward Raff, Brian Testa	Differentially Private Logistic Regression with Sparse Solutions.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies 0001, Kate Highnam, Tim Watson	Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Maura Pintor, Xinyun Chen, Florian Tramèr (eds.)	Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, AISec 2023, Copenhagen, Denmark, 30 November 2023	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Tobias Lorenz 0002, Marta Kwiatkowska, Mario Fritz	Certifiers Make Neural Networks Vulnerable to Availability Attacks.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Daniel Gibert, Giulio Zizzo, Quan Le	Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Md Asifur Rahman, Sarra M. Alqahtani	Task-Agnostic Safety for Reinforcement Learning.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi	Drift Forensics of Malware Classifiers.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff	AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Elizabeth Bates, Vasilios Mavroudis, Chris Hicks	Reward Shaping for Happier Autonomous Cyber Security Agents.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Tian Hui, Farhad Farokhi, Olga Ohrimenko	Information Leakage from Data Updates in Machine Learning Models.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Luke E. Richards, Edward Raff, Cynthia Matuszek	Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Tomás Chobola, Dmitrii Usynin, Georgios Kaissis	Membership Inference Attacks Against Semantic Segmentation Models.	AISec@CCS	2023	DBLP DOI BibTeX RDF
1	Ambra Demontis, Xinyun Chen, Florian Tramèr (eds.)	Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, AISec 2022, Los Angeles, CA, USA, 11 November 2022	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Dmitrijs Trizna	Quo Vadis: Hybrid Machine Learning Meta-Model Based on Contextual and Behavioral Malware Representations.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Zhifeng Kong, Amrita Roy Chowdhury 0001, Kamalika Chaudhuri	Forgeability and Membership Inference Attacks.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Mauro Conti, Jiaxin Li, Stjepan Picek, Jing Xu	Label-Only Membership Inference Attack against Node-Level Graph Neural Networks.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Mohammad Maghsoudimehrabani, Amin Azmoodeh, Ali Dehghantanha, Behrouz Zolfaghari, Gautam Srivastava 0001	Proactive Detection of Query-based Adversarial Scenarios in NLP Systems.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Tarini Saka, Kami Vaniea, Nadin Kökciyan	Context-Based Clustering to Mitigate Phishing Attacks.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Federico Mazzone, Leander van den Heuvel, Maximilian Huber, Cristian Verdecchia, Maarten H. Everts, Florian Hahn 0001, Andreas Peter	Repeated Knowledge Distillation with Confidence Masking to Mitigate Membership Inference Attacks.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Kim André Midtlid, Johannes Åsheim, Jingyue Li	Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Vishnu Asutosh Dasu, Sumanta Sarkar, Kalikinkar Mandal	PROV-FL: Privacy-preserving Round Optimal Verifiable Federated Learning.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger	Assessing the Impact of Transformations on Physical Adversarial Attacks.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Raksha Ramakrishna, György Dán	Inferring Class-Label Distribution in Federated Learning.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Lin Li 0066, Chao Chen 0015, Lei Pan 0002, Jun Zhang 0010, Yang Xiang 0001	Video is All You Need: Attacking PPG-based Biometric Authentication.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Tong Wu, Tianhao Wang 0021, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal	Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Stuart Millar, Denis Podgurskii, Dan Kuykendall, Jesús Martínez del Rincón, Paul Miller 0003	Optimising Vulnerability Triage in DAST with Deep Learning.	AISec@CCS	2022	DBLP DOI BibTeX RDF
1	Akshaj Kumar Veldanda, Kang Liu 0017, Benjamin Tan 0001, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg	NNoculation: Catching BadNets in the Wild.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Ambra Demontis	Session details: Session 2B: Machine Learning for Cybersecurity.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner 0001	SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz	Differential Privacy Defenses and Sampling Attacks for Membership Inference.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Antreas Dionysiou, Elias Athanasopoulos	Unicode Evil: Evading NLP Systems Using Visual Similarities of Text Characters.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng 0001, Ben Y. Zhao	Patch-based Defenses against Web Fingerprinting Attacks.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Runhua Xu, Nathalie Baracaldo, Yi Zhou 0015, Ali Anwar 0001, James Joshi, Heiko Ludwig	FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Chinmay Deshpande, David Gens, Michael Franz	StackBERT: Machine Learning Assisted Static Stack Frame Size Recovery on Stripped and Optimized Binaries.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Nicholas Carlini, Ambra Demontis, Yizheng Chen 0001 (eds.)	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	DBLP DOI BibTeX RDF
1	Nicholas Carlini	Session details: Session 2A: Machine Learning for Cybersecurity.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Tom Ganz, Martin Härterich, Alexander Warnecke, Konrad Rieck	Explaining Graph Neural Networks for Vulnerability Discovery.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Kalle Kujanpää, Willie Victor, Alexander Ilin	Automating Privilege Escalation with Deep Reinforcement Learning.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Aviv Yehezkel, Eyal Elyashiv, Or Soffer	Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Zeliang Kan, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro	Investigating Labelless Drift Adaptation for Malware Detection.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Yizheng Chen 0001	Session details: Session 3: Privacy-Preserving Machine Learning.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Nicholas Carlini	Session details: Session 1: Adversarial Machine Learning.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Robert J. Joyce, Edward Raff, Charles Nicholas	A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Zhanyuan Zhang, Yizheng Chen 0001, David A. Wagner 0001	SEAT: Similarity Encoder by Adversarial Training for Detecting Model Extraction Attack Queries.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	Jan Malte Hilgefort, Daniel Arp, Konrad Rieck	Spying through Virtual Backgrounds of Video Calls.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro	INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.	AISec@CCS	2021	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Alexander Schlögl, Rainer Böhme	eNNclave: Offline Inference with Model Confidentiality.	AISec@CCS	2020	DBLP DOI BibTeX RDF
1	An Ju, David A. Wagner 0001	E-ABS: Extending the Analysis-By-Synthesis Robust Classification Model to More Complex Image Domains.	AISec@CCS	2020	DBLP DOI BibTeX RDF
1	Esteban Rivera, Lizzy Tengana, Jesus Solano, Alejandra Castelblanco, Christian Lopez, Martín Ochoa	Risk-based Authentication Based on Network Latency Profiling.	AISec@CCS	2020	DBLP DOI BibTeX RDF
1	Jay Ligatti, Xinming Ou (eds.)	AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, Virtual Event, USA, 13 November 2020.	AISec@CCS	2020	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Carlos Novo, Ricardo Morla	Flow-based Detection and Proxy-based Evasion of Encrypted Malware C2 Traffic.	AISec@CCS	2020	DBLP DOI BibTeX RDF
1	Kota Yoshida, Takeshi Fujino	Disabling Backdoor and Identifying Poison Data by using Knowledge Distillation in Backdoor Attacks on Deep Neural Networks.	AISec@CCS	2020	DBLP DOI BibTeX RDF
1	Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson	Towards Certifiable Adversarial Sample Detection.	AISec@CCS	2020	DBLP DOI BibTeX RDF
1	Michael R. Smith 0002, 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	DBLP DOI BibTeX RDF
1	Toshiki Shibahara, Hirokazu Kodera, Daiki Chiba 0001, Mitsuaki Akiyama, Kunio Hato, Ola Söderström, Daniel Dalek, Masayuki Murata 0001	Cross-Vendor Knowledge Transfer for Managed Security Services with Triplet Network.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Stacey Truex, Nathalie Baracaldo, Ali Anwar 0001, Thomas Steinke 0002, Heiko Ludwig, Rui Zhang, Yi Zhou 0015	A Hybrid Approach to Privacy-Preserving Federated Learning.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Kenneth Alperin, Allan B. Wollaber, Dennis M. Ross, Pierre C. Trepagnier, Leslie Leonard	Risk Prioritization by Leveraging Latent Vulnerability Features in a Contested Environment.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Runhua Xu, Nathalie Baracaldo, Yi Zhou 0015, Ali Anwar 0001, Heiko Ludwig	HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Mohammad Ruhul Amin, Pranav Garg 0001, Baris Coskun	CADENCE: Conditional Anomaly Detection for Events Using Noise-Contrastive Estimation.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal	Analyzing the Robustness of Open-World Machine Learning.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit	Malware Detection on Highly Imbalanced Data through Sequence Modeling.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri	Robust Detection of Obfuscated Strings in Android Apps.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio	Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Lorenzo Cavallaro, Johannes Kinder, Sadia Afroz 0001, Battista Biggio, Nicholas Carlini, Yuval Elovici, Asaf Shabtai (eds.)	Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2019, London, UK, November 15, 2019.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Mika Juuti, Buse Gul Atli, N. Asokan	Making Targeted Black-box Evasion Attacks Effective and Efficient.	AISec@CCS	2019	DBLP DOI BibTeX RDF
1	Sadia Afroz 0001, Battista Biggio, Yuval Elovici, David Freeman 0001, Asaf Shabtai (eds.)	Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, CCS 2018, Toronto, ON, Canada, October 19, 2018	AISec@CCS	2018	DBLP BibTeX RDF
1	Sadia Afroz 0001	Session details: Keynote Address.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Binbin Zhao, Haiqin Weng, Shouling Ji, Jianhai Chen, Ting Wang 0006, Qinming He, Reheem Beyah	Towards Evaluating the Security of Real-World Deployed Image CAPTCHAs.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Chao Xu, Zhentan Feng, Yizheng Chen 0001, Minghua Wang, Tao Wei	FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Asaf Shabtai	Session details: AI for Detecting Attacks.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Ningfei Wang, Shouling Ji, Ting Wang 0006	Integration of Static and Dynamic Code Stylometry Analysis for Programmer De-anonymization.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Asaf Shabtai	Session details: AI for Detecting Software Vulnerabilities.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Yuval Elovici	Session details: AI for Forensics.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Yali Du 0001, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao	Towards Query Efficient Black-box Attacks: An Input-free Perspective.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Mohammad Hashemi, Greg Cusack, Eric Keller	Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Siddharth Karamcheti, Gideon Mann, David S. Rosenberg	Adaptive Grey-Box Fuzz-Testing with Thompson Sampling.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Gustavo Grieco, Artem Dinaburg	Toward Smarter Vulnerability Discovery Using Machine Learning.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, N. Asokan	All You Need is: Evading Hate Speech Detection.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Battista Biggio	Session details: AI Security / Adversarial Machine Learning.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Nicolas Papernot	A Marauder's Map of Security and Privacy in Machine Learning: An overview of current and future research directions for making machine learning secure and private.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Ivan Torroledo, Luis David Camacho, Alejandro Correa Bahnsen	Hunting Malicious TLS Certificates with Deep Neural Networks.	AISec@CCS	2018	DBLP DOI BibTeX RDF
1	Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli	Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization.	AISec@CCS	2017	DBLP DOI BibTeX RDF
1	Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat	Efficient Defenses Against Adversarial Attacks.	AISec@CCS	2017	DBLP DOI BibTeX RDF

Publications at "AISec@CCS"( http://dblp.L3S.de/Venues/AISec@CCS )