| 2024 | Not All Tokens Are Equal: Membership Inference Attacks Against Fine-tuned Language Models. | Changtian Song, Dongdong Zhao, Jianwen Xiang |
| 2024 | Harnessing Multiplicity: Granular Browser Extension Fingerprinting through User Configurations. | Konstantinos Solomos, Nick Nikiforakis, Jason Polakis |
| 2024 | You Only Perturb Once: Bypassing (Robust) Ad-Blockers Using Universal Adversarial Perturbations. | Dongwon Shin, Suyoung Lee, Sanghyun Hong, Sooel Son |
| 2024 | Software Vulnerability Detection Using LLM: Does Additional Information Help? | Samiha Shimmi, Yash Saini, Mark Schaefer, Hamed Okhravi, Mona Rahimi |
| 2024 | Reading It like an Open Book: Single-trace Blind Side-channel Attacks on Garbled Circuit Frameworks. | Sirui Shen, Chenglu Jin |
| 2024 | T-Edge: Trusted Heterogeneous Edge Computing. | Jiamin Shen, Yao Chen, Weng-Fai Wong, Ee-Chien Chang |
| 2024 | R+R: Revisiting Graph Matching Attacks on Privacy-Preserving Record Linkage. | Jochen Schfer, Frederik Armknecht, Youzhe Heng |
| 2024 | Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection. | Md. Abu Sayed, Asif Rahman, Christopher Kiekintveld, Sebastin Garca |
| 2024 | MAD: A Meta-Learning Approach to Detect Advanced Persistent Threats using Provenance Data in Industrial IoT. | Bikash Saha, Nanda Rani, Sandeep Kumar Shukla |
| 2024 | Learning to Unfix: Towards ML Robustness in Vulnerability Detection via Structure-Aware Code Generation. | Muhammad Fakhrur Rozi, Takeshi Takahashi |
| 2024 | I'll Be There for You! Perpetual Availability in the A | Andr Rsti, Stijn Volckaert, Michael Franz, Alexios Voulimeneas |
| 2024 | Privacy-Preserving Verifiable Neural Network Inference Service. | Arman Riasi, Jorge Guajardo, Thang Hoang |
| 2024 | When AI Meets Code Analysis: A Study of Adversarial Attacks on Deep Learning-based Code Models via Program Transformation. | Avilash Rath, Youpeng Li, Troy Davis, Braden Bronaugh, Darsh Poddar, Sophia Li, Xinda Wang |
| 2024 | Towards a Taxonomy of Challenges in Security Control Implementation. | Md. Rayhanur Rahman, Brandon Wroblewski, Mahzabin Tamanna, Imranur Rahman, Andrew Anufryienak, Laurie A. Williams |
| 2024 | Leveraging Intensity as a New Feature to Detect Physical Adversarial Attacks Against LiDARs. | Yeji Park, Hyunsu Cho, Dong Hoon Lee, Wonsuk Choi |
| 2024 | TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. | Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Prez-Cruz, Luigi V. Mancini |
| 2024 | Does Prompt-tuning Enhance Privacy in Large Language Models? | Tsunato Nakai, Kento Oonishi, Takuya Higashi |
| 2024 | Fast and Secure Consensus Protocol for Ethereum 2.0. | Shinsaku Naito, Kanta Matsuura |
| 2024 | R+R: Understanding Hyperparameter Effects in DP-SGD. | Felix Morsbach, Jan Reubold, Thorsten Strufe |
| 2024 | Intrusion Detection Simplified: A Feature-free Approach to Traffic Classification Using Transformers. | Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi |
| 2024 | IoC Stalker: Early detection of Indicators of Compromise. | Mariella Mischinger, Sergio Pastrana, Guillermo Suarez-Tangil |
| 2024 | The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers. | Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi |
| 2024 | Retrieval of Network Packets Information Using a Generated Latent Space Representation for Network Analysis in Cyber Security. | Ofir Manor, Ortal Lavi, Tomer Schwartz, Motoyoshi Sekiya, Junichi Suga, Kenji Hikichi, Yuki Unno, Andrs F. Murillo |
| 2024 | The Rings of Tracking: Evaluating Security and Privacy in the Smart Ring Ecosystem. | Johannes Ludwig, Veelasha Moonsamy, Matteo Groe-Kampmann |
| 2024 | Automated Vulnerability Detection in Smart Contracts using Control Flow Graphs and Machine Learning. | Charles Lohest, Samy Bettaieb, Axel Legay |