| 2025 | GREAT: Global Representation and Edge-Attention for Hardware Trojan Detection. | Zhengyi Li, Wei Cheng, Huanrong Tang, Yaohua Wang |
| 2025 | ParaVerser: Harnessing Heterogeneous Parallelism for Affordable Fault Detection in Data Centers. | Minli Julie Liao, Sam Ainsworth, Lev Mukhanov, Adrin Barredo, Markos Kynigos, Timothy M. Jones |
| 2025 | MalTAG: Encrypted Malware Traffic Detection Framework via Graph Based Flow Interaction Mining. | Renjie Li, Zhou Zhou, Hao Miao, Fengyuan Shi, Qingyun Liu |
| 2025 | Program Verification for Rigorous Analysis of Decision Tree Ensembles Against Specifications. | Iat Tou Leong, Aleksandar Avdalovic, Raul Barbosa |
| 2025 | SemiAF: Semi-Supervised App Fingerprinting on Unknown Traffic via Graph Neural Network. | Xiaodong Lei, Yongjun Wang, Lin Liu, Jun-Jie Huang, Jiangyong Shi, Luming Yang |
| 2025 | Refining Environmental Requirements for Autonomous Driving Systems: Leveraging the FRAV Framework. | Mahwish Kundi, Faraz Ahmad, Rosemary Monahan |
| 2025 | Hierarchical Model-Based Approach for Concurrent Testing of Neuromorphic Architecture. | Suman Kumar, Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy |
| 2025 | Securing In-Network Traffic Control Systems with P4Auth. | Ranjitha K., Medha Rachel Panna, Stavan Nilesh Christian, Karuturi Havya Sree, Sri Hari Malla, Dheekshitha Bheemanath, Rinku Shah, Praveen Tammana |
| 2025 | Assessing the Transferability of Adversarial Patches in Real-World Systems: Implications for Adversarial Testing of Image Recognition Security. | Stephan Kleber, Jeremias Eppler, Tim Palm, Dennis Eisermann, Frank Kargl |
| 2025 | QUIC-Aware Load Balancing: Attacks and Mitigations. | Liliana Kistenmacher, Anum Talpur, Mathias Fischer |
| 2025 | Energy-Efficient Anomaly Detection in Autonomous Vehicles Using RSNNs. | Daeho Kim, Eun-Kyu Lee, Jiwoo Lee |
| 2025 | Graphical Security Models and Their Applications. | Dan Dongseong Kim |
| 2025 | Intrusion Detection System with Domain-incremental Continual Learning. | Hyejin Kim, Seunghyun Yoon, Dan Dongseong Kim, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim |
| 2025 | Assessing the Validity of LLM-Driven Hazard Analysis: An Assessor's Perspective. | Michael Kevvay, Vladislav Gryaznykh, Oleg Kirovskii, Anton Korolev |
| 2025 | ZCover: Uncovering Z-Wave Controller Vulnerabilities Through Systematic Security Analysis of Application Layer Implementation. | Carlos Nkuba Kayembe, Jimin Kang, Seunghoon Woo, Heejo Lee |
| 2025 | Large-Scale AI Infra Reliability: Challenges, Strategies, and Llama 3 Training Experience. | Xun Jiao, Abhinav Pandey, Karthik Pattabiraman, Fan Fred Lin |
| 2025 | LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms. | Zhihan Jiang, Rui Ren, Guangba Yu, Yulun Wu, Wenwei Gu, Yichen Li, Yujie Huang, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu |
| 2025 | Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators. | Farjana Jalil, Muhammad Awais, Qazi Arbab Ahmed, Hassan Ghasemzadeh Mohammadi, Thorsten Jungeblut, Marco Platzner |
| 2025 | Rethinking BFT: Leveraging Diverse Software Components with LLMs. | Joo Imperadeiro, Ana Nunes Alonso, Jos Pereira |
| 2025 | Enhanced Cybersecurity Monitoring in Multi-Plant Flexible Manufacturing Environments. | Antonio Iannaccone, Roberto Nardone |
| 2025 | Detecting Code Vulnerabilities using LLMs. | Larry Huynh, Yinghao Zhang, Djimon Jayasundera, Woojin Jeon, Hyoungshick Kim, Tingting Bi, Jin B. Hong |
| 2025 | Expectations Versus Reality: Evaluating Intrusion Detection Systems in Practice. | Larry Huynh, Jake Hesford, Daniel Cheng, Alan Wan, Seungho Kim, Hyoungshick Kim, Jin B. Hong |
| 2025 | Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models. | Zi-Xuan Huang, Jia-Wei Chen, Zhi-Peng Zhang, Chia-Mu Yu |
| 2025 | VerifyVFL: Practical Verifiable Vertical Federated Learning. | Junchen Hou, Lan Zhang |
| 2025 | Towards Provenance for Cybersecurity in Cloud-Native Production Infrastructure. | Paul R. B. Houssel, Sylvie Laniepce, Olivier Levillain |