| 2024 | Towards Detection-Recovery Strategy for Robust Decentralized Matrix Factorization. | Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Qifan Xiao, Xiaoyu You, Yuan Tian, Min Yang |
| 2024 | Similar Data is Powerful: Enhancing Inference Attacks on SSE with Volume Leakages. | Bjrn Ho, Huanhuan Chen, Zeshun Shi, Kaitai Liang |
| 2024 | ARPSSO: An OIDC-Compatible Privacy-Preserving SSO Scheme Based on RP Anonymization. | Junlin He, Lingguang Lei, Yuewu Wang, Pingjian Wang, Jiwu Jing |
| 2024 | Formal Hardware/Software Models for Cache Locking Enabling Fast and Secure Code. | Jean-Loup Hatchikian-Houdot, Pierre Wilke, Frdric Besson, Guillaume Hiet |
| 2024 | Leveraging Hierarchies: HMCAT for Efficiently Mapping CTI to Attack Techniques. | Zhiqiang Hao, Chuanyi Li, Xiao Fu, Bin Luo, Xiaojiang Du |
| 2024 | Plausible Deniability of Redacted Text. | Vaibhav Gusain, Douglas J. Leith |
| 2024 | Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection. | Yuejun Guo, Constantinos Patsakis, Qiang Hu, Qiang Tang, Fran Casino |
| 2024 | Resilience to Chain-Quality Attacks in Fair Separability. | Vincent Gramoli, Zhenliang Lu, Qiang Tang, Pouriya Zarbafian |
| 2024 | Atomic Swaps for Boneh-Lynn-Shacham (BLS) Based Blockchains. | Huseyin Gokay, Foteini Baldimtsi, Giuseppe Ateniese |
| 2024 | Optimizing Cyber Defense in Dynamic Active Directories Through Reinforcement Learning. | Diksha Goel, Kristen Moore, Mingyu Guo, Derui Wang, Minjune Kim, Seyit Camtepe |
| 2024 | Secrecy and Sensitivity: Privacy-Performance Trade-Offs in Encrypted Traffic Classification. | Spencer Giddens, Raphael Labaca-Castro, Dan Zhao, Sandra Guasch, Parth Mishra, Nicolas Gama |
| 2024 | Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering. | Maryam Ghasemian, Erman Ayday |
| 2024 | Have You Poisoned My Data? Defending Neural Networks Against Data Poisoning. | Fabio De Gaspari, Dorjan Hitaj, Luigi V. Mancini |
| 2024 | Exploring Distribution Learning of Synthetic Data Generators for Manifolds. | Sonakshi Garg, Vicen Torra |
| 2024 | Task-Specific Knowledge Distillation with Differential Privacy in LLMs. | Sonakshi Garg, Vicen Torra |
| 2024 | Feasibility Study for Supporting Static Malware Analysis Using LLM. | Shota Fujii, Rei Yamagishi |
| 2024 | Private Decision Tree Evaluation with Malicious Security via Function Secret Sharing. | Jiaxuan Fu, Ke Cheng, Yuheng Xia, Anxiao Song, Qianxing Li, Yulong Shen |
| 2024 | Threat Modeling in Satellite Communications for Maritime Operations. | Even Kvam Frseth, Georgios Kavallieratos, Sokratis K. Katsikas |
| 2024 | Generating Traffic-Level Adversarial Examples from Feature-Level Specifications. | Robert Flood, Marco Casadio, David Aspinall, Ekaterina Komendantskaya |
| 2024 | Cybersecurity Challenges in Industrial Control Systems: An Interview Study with Asset Owners in Norway. | Lars Halvdan Fl, Christoph Alexander Thieme, Martin Gilje Jaatun, Geir Kjetil Hanssen |
| 2024 | Optimal Machine-Learning Attacks on Hybrid PUFs. | Hongming Fei, Prosanta Gope, Owen Millwood, Biplab Sikdar |
| 2024 | How to Better Fit Reinforcement Learning for Pentesting: A New Hierarchical Approach. | Marc-Antoine Faillon, Baptiste Bout, Julien Francq, Christopher Neal, Nora Boulahia-Cuppens, Frdric Cuppens, Reda Yaich |
| 2024 | BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection. | David Eklund, Alfonso Iacovazzi, Han Wang, Apostolos Pyrgelis, Shahid Raza |
| 2024 | Enabling Android Application Monitoring by Characterizing Security-Critical Code Fragments. | Hendrik Eikerling, Anemone Kampktter |
| 2024 | GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction. | Emad Efatinasab, Alessandro Brighente, Mirco Rampazzo, Nahal Azadi, Mauro Conti |