| 2024 | Automated Synthesis of Effect Graph Policies for Microservice-Aware Stateful System Call Specialization. | William Blair, Frederico Araujo, Teryl Taylor, Jiyong Jang |
| 2024 | SoK: Technical Implementation and Human Impact of Internet Privacy Regulations. | Eleanor Birrell, Jay Rodolitz, Angel Ding, Jenna Lee, Emily McReynolds, Jevan A. Hutson, Ada Lerner |
| 2024 | A Public and Reproducible Assessment of the Topics API on Real Data. | Yohan Beugin, Patrick D. McDaniel |
| 2024 | CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers. | Matan Ben-Tov, Daniel Deutch, Nave Frost, Mahmood Sharif |
| 2024 | SoK: Safer Digital-Safety Research Involving At-Risk Users. | Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart |
| 2024 | Tabbed Out: Subverting the Android Custom Tab Security Model. | Philipp Beer, Marco Squarcina, Lorenzo Veronese, Martina Lindorfer |
| 2024 | P4Control: Line-Rate Cross-Host Attack Prevention via In-Network Information Flow Control Enabled by Programmable Switches and eBPF. | Osama Bajaber, Bo Ji, Peng Gao |
| 2024 | MPC-in-the-Head Framework without Repetition and its Applications to the Lattice-based Cryptography. | Weihao Bai, Long Chen, Qianwen Gao, Zhenfeng Zhang |
| 2024 | SoK: Security and Privacy of Blockchain Interoperability. | Andr Augusto, Rafael Belchior, Miguel Correia, Andr Vasconcelos, Luyao Zhang, Thomas Hardjono |
| 2024 | Casual Users and Rational Choices within Differential Privacy. | Narges Ashena, Oana Inel, Badrie L. Persaud, Abraham Bernstein |
| 2024 | SideGuard: Non-Invasive On-Chip Malware Detection in Heterogeneous IoT Systems by Leveraging Side-Channels. | Fatemeh Arkannezhad, Pooya Aghanoury, Justin Feng, Hossein Khalili, Nader Sehatbakhsh |
| 2024 | Poster: Towards Privacy-Preserving Federated Recommendation via Synthetic Interactions. | Thirasara Ariyarathna, Salil S. Kanhere, Hye-Young Paik |
| 2024 | DY Fuzzing: Formal Dolev-Yao Models Meet Cryptographic Protocol Fuzz Testing. | Max Ammann, Lucca Hirschi, Steve Kremer |
| 2024 | "False negative - that one is going to kill you": Understanding Industry Perspectives of Static Analysis based Security Testing. | Amit Seal Ami, Kevin Moran, Denys Poshyvanyk, Adwait Nadkarni |
| 2024 | Everyone for Themselves? A Qualitative Study about Individual Security Setups of Open Source Software Contributors. | Sabrina Amft, Sandra Hltervennhoff, Rebecca Panskus, Karola Marky, Sascha Fahl |
| 2024 | Weird Machines in Package Managers: A Case Study of Input Language Complexity and Emergent Execution in Software Systems. | Sameed Ali, Michael E. Locasto, Sean W. Smith |
| 2024 | Pandora: Principled Symbolic Validation of Intel SGX Enclave Runtimes. | Fritz Alder, Lesly-Ann Daniel, David F. Oswald, Frank Piessens, Jo Van Bulck |
| 2024 | Device-Oriented Group Messaging: A Formal Cryptographic Analysis of Matrix' Core. | Martin R. Albrecht, Benjamin Dowling, Daniel Jones |
| 2024 | Larger-scale Nakamoto-style Blockchains Don't Necessarily Offer Better Security. | Jannik Albrecht, Sbastien Andreina, Frederik Armknecht, Ghassan Karame, Giorgia Azzurra Marson, Julian Willingmann |
| 2024 | TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. | Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim |
| 2024 | Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams. | Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cin, Lea Schnherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz |
| 2024 | An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape. | Sifat Muhammad Abdullah, Aravind Cheruvu, Shravya Kanchi, Taejoong Chung, Peng Gao, Murtuza Jadliwala, Bimal Viswanath |
| 2024 | Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. | Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong |
| 2024 | Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks. | Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik |
| 2023 | Deep Bribe: Predicting the Rise of Bribery in Blockchain Mining with Deep RL. | Roi Bar Zur, Danielle Dori, Sharon Vardi, Ittay Eyal, Aviv Tamar |