| 2024 | No Need for Details: Effective Anomaly Detection for Process Control Traffic in Absence of Protocol and Attack Knowledge. | Franka Schuster, Hartmut Knig |
| 2024 | Obfuscating Provenance-Based Forensic Investigations with Mapping System Meta-Behavior. | Anyuan Sang, Yuchen Wang, Li Yang, Junbo Jia, Lu Zhou |
| 2024 | ADAPT it! Automating APT Campaign and Group Attribution by Leveraging and Linking Heterogeneous Files. | Aakanksha Saha, Jorge Blasco, Lorenzo Cavallaro, Martina Lindorfer |
| 2024 | Unraveling the Web of Disinformation: Exploring the Larger Context of State-Sponsored Influence Campaigns on Twitter. | Mohammad Hammas Saeed, Shiza Ali, Pujan Paudel, Jeremy Blackburn, Gianluca Stringhini |
| 2024 | KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities. | Bonan Ruan, Jiahao Liu, Chuqi Zhang, Zhenkai Liang |
| 2024 | Fixing Insecure Cellular System Information Broadcasts For Good. | Alexander J. Ross, Bradley Reaves, Yomna Nasser, Gil Cukierman, Roger Piqueras Jover |
| 2024 | AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images. | Jonas Ricker, Dennis Assenmacher, Thorsten Holz, Asja Fischer, Erwin Quiring |
| 2024 | You Might Have Known It Earlier: Analyzing the Role of Underground Forums in Threat Intelligence. | Tommaso Paladini, Lara Ferro, Mario Polino, Stefano Zanero, Michele Carminati |
| 2024 | A Second Look at the Portability of Deep Learning Side-Channel Attacks over EM Traces. | Mabon Ninan, Evan Nimmo, Shane Reilly, Channing Smith, Wenhai Sun, Boyang Wang, John Marty Emmert |
| 2024 | KGDist: A Prompt-Based Distillation Attack against LMs Augmented with Knowledge Graphs. | Hualong Ma, Peizhuo Lv, Kai Chen, Jiachen Zhou |
| 2024 | A Comprehensive, Automated Security Analysis of the Uptane Automotive Over-the-Air Update Framework. | Robert Lorch, Daniel Larraz, Cesare Tinelli, Omar Chowdhury |
| 2024 | Blocklist-Forecast: Proactive Domain Blocklisting by Identifying Malicious Hosting Infrastructure. | Udesh Kumarasinghe, Mohamed Nabeel, Charitha Elvitigala |
| 2024 | Integrating Static Analyses for High-Precision Control-Flow Integrity. | Florian Kasten, Philipp Zieris, Julian Horsch |
| 2024 | Honeyquest: Rapidly Measuring the Enticingness of Cyber Deception Techniques with Code-based Questionnaires. | Mario Kahlhofer, Stefan Achleitner, Stefan Rass, Ren Mayrhofer |
| 2024 | Gudifu: Guided Differential Fuzzing for HTTP Request Parsing Discrepancies. | Bahruz Jabiyev, Anthony Gavazzi, Kaan Onarlioglu, Engin Kirda |
| 2024 | Prob-Hashcat: Accelerating Probabilistic Password Guessing with Hashcat by Hundreds of Times. | Ziyi Huang, Ding Wang, Yunkai Zou |
| 2024 | Tango: Extracting Higher-Order Feedback through State Inference. | Ahmad Hazimeh, Duo Xu, Qiang Liu, Yan Wang, Mathias Payer |
| 2024 | Breaking Privacy in Model-Heterogeneous Federated Learning. | Atharva Haldankar, Arman Riasi, Hoang-Dung Nguyen, Tran Phuong, Thang Hoang |
| 2024 | Hidden Web Caches Discovery. | Matteo Golinelli, Bruno Crispo |
| 2024 | VeriFence: Lightweight and Precise Spectre Defenses for Untrusted Linux Kernel Extensions. | Luis Gerhorst, Henriette Herzog, Peter Wgemann, Maximilian Ott, Rdiger Kapitza, Timo Hnig |
| 2024 | The "Big Beast to Tackle": Practices in Quality Assurance for Cyber Threat Intelligence. | Thomas Geras, Thomas Schreck |
| 2024 | Context-Aware Anomaly Detection Using Vehicle Dynamics. | Chun-Yu (Daniel) Chen, Kang G. Shin, Soodeh Dadras |
| 2024 | Understanding Web Fingerprinting with a Protocol-Centric Approach. | Bogdan Cebere, Christian Rossow |
| 2024 | Down to earth! Guidelines for DGA-based Malware Detection. | Bogdan-Constantin Cebere, Jonathan Lasse Bennet Flueren, Silvia Sebastin, Daniel Plohmann, Christian Rossow |
| 2024 | Cross-Regional Malware Detection via Model Distilling and Federated Learning. | Marcus Botacin, Heitor Murilo Gomes |