| 2026 | ACISP | Autonomous Adversary: Red-Teaming in the Age of LLM. | Mohammad Mamun, Mohamed Gaber, Scott Buffett, Sherif Saad |
| 2025 | ACNS | TIRE: Advancing Threat Intelligence Relation Extraction with a Novel Data-Centric Framework. | Inoussa Mouiche, Sherif Saad |
| 2025 | CANS | Synthetic Lateral Movement Data Generation for Azure Cloud: A Hopper-Based Approach. | Mohammad Mamun, Hadeer Ahmed, Anas Mabrouk, Sherif Saad |
| 2025 | CRiSIS | Drift-RL: A Reinforcement Learning Framework for Simulating Textual Data Drift in Cybersecurity. | Hadeer Ahmed, Issa Traor, Sherif Saad, Mohammad Mamun |
| 2025 | CRiSIS | Context-Aware Entity-Relation Extraction for Threat Intelligence Knowledge Graphs. | Inoussa Mouiche, Sherif Saad |
| 2025 | ICISSP | Adaptive Ensemble Defense: Mitigating NLP Adversarial Attacks with Data-Augmented Voting Mechanisms. | Amira Abdelbaky, Sherif Saad, Mohammad Mamun |
| 2025 | ICISSP | An Alternative Approach to Federated Learning for Model Security and Data Privacy. | William Briguglio, Waleed A. Yousef, Issa Traor, Mohammad Mamun, Sherif Saad |
| 2025 | ICISSP | HybridMTD: Enhancing Robustness Against Adversarial Attacks with Ensemble Neural Networks and Moving Target Defense. | Kimia Tahayori, Sherif Saad, Mohammad Mamun, Saeed Samet |
| 2025 | ICSoft | Thoth: A Lightweight Framework for End-to-End Consumer IoT Rapid Testing. | Salma Roshdy Aly, Sherif Saad, Mohammad Mamun |
| 2025 | NAACL | ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs. | Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana |
| 2024 | EACL | Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion. | Aly M. Kassem, Sherif Saad |
| 2024 | SECRYPT | TI-NERmerger: Semi-Automated Framework for Integrating NER Datasets in Cybersecurity. | Inoussa Mouiche, Sherif Saad |
| 2023 | EMNLP | Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models. | Aly M. Kassem, Omar Mahmoud, Sherif Saad |
| 2023 | SECRYPT | Automated Feature Engineering for AutoML Using Genetic Algorithms. | Kevin Shi, Sherif Saad |
| 2022 | ICISSP | iProfile: Collecting and Analyzing Keystroke Dynamics from Android Users. | Haytham Elmiligi, Sherif Saad |
| 2021 | DASC | Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains. | Shiv Sondhi, Sherif Saad, Kevin Shi, Mohammad Mamun, Issa Traor |
| 2020 | ICSoft | Emerging Design Patterns for Blockchain Applications. | Vijay Rajasekar, Shiv Sondhi, Sherif Saad, Shady Mohammed |
| 2019 | ICISSP | The Curious Case of Machine Learning in Malware Detection. | Sherif Saad, William Briguglio, Haytham Elmiligi |
| 2019 | ISPEC | JSLess: A Tale of a Fileless Javascript Memory-Resident Malware. | Sherif Saad, Farhan Mahmood, William Briguglio, Haytham Elmiligi |
| 2012 | SEC | Peer to Peer Botnet Detection Based on Flow Intervals. | David Zhao, Issa Traor, Ali A. Ghorbani, Bassam Sayed, Sherif Saad, Wei Lu |
| 2011 | PST | Detecting P2P botnets through network behavior analysis and machine learning. | Sherif Saad, Issa Traor, Ali A. Ghorbani, Bassam Sayed, David Zhao, Wei Lu, John Felix, Payman Hakimian |
| 2010 | PST | Method ontology for intelligent network forensics analysis. | Sherif Saad, Issa Traor |