Method ontology for intelligent network forensics analysis. - Sherif Saad; Issa Traoré (PST, 2010)

Ontology-based Intelligent Network-Forensics Investigation. - Sherif Saad; Issa Traoré (SEDE, 2010)

A semantic analysis approach to manage IDS alerts flooding. - Sherif Saad; Issa Traoré (IAS, 2011)

Detecting P2P botnets through network behavior analysis and machine learning. - Sherif Saad; Issa Traoré; Ali A. Ghorbani 001; Bassam Sayed; David Zhao; Wei Lu 018; John Felix; Payman Hakimian (PST, 2011)

Extracting Attack Scenarios Using Intrusion Semantics. - Sherif Saad; Issa Traoré (FPS, 2012)

Peer to Peer Botnet Detection Based on Flow Intervals. - David Zhao; Issa Traoré; Ali A. Ghorbani 001; Bassam Sayed; Sherif Saad; Wei Lu 018 (SEC, 2012)

Authorship verification for short messages using stylometry. - Marcelo Luiz Brocardo; Issa Traoré; Sherif Saad; Isaac Woungang (CITS, 2013)

Botnet detection based on traffic behavior analysis and flow intervals. - David Zhao; Issa Traoré; Bassam Sayed; Wei Lu 018; Sherif Saad; Ali A. Ghorbani 001; Daniel Garant (Comput. Secur., 2013)

Semantic aware attack scenarios reconstruction. - Sherif Saad; Issa Traoré (J. Inf. Secur. Appl., 2013)

Context-aware intrusion alerts verification approach. - Sherif Saad; Issa Traoré; Marcelo Luiz Brocardo (IAS, 2014)

Verifying Online User Identity using Stylometric Analysis for Short Messages. - Marcelo Luiz Brocardo; Issa Traoré; Sherif Saad; Isaac Woungang (J. Networks, 2014)

Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. - Hadeer Ahmed; Issa Traoré; Sherif Saad (ISDDC, 2017)

Speed Based Attacker Placement for Evaluating Location Privacy in VANET. - Ikjot Saini; Sherif Saad; Arunita Jaekel (ADHOCNETS, 2018)

Identification of User Behavioral Biometrics for Authentication Using Keystroke Dynamics and Machine Learning. - Sowndarya Krishnamoorthy; Luis Rueda 001; Sherif Saad; Haytham Elmiligi (ICBEA, 2018)

Identifying Vulnerabilities and Attacking Capabilities Against Pseudonym Changing Schemes in VANET. - Ikjot Saini; Sherif Saad; Arunita Jaekel (ISDDC, 2018)

Detecting opinion spams and fake news using text classification. - Hadeer Ahmed; Issa Traoré; Sherif Saad (Secur. Priv., 2018)

Lightweight IoT Mutual Authentication Scheme Based on Transient Identities and Transactions History. - Mohammed Alshahrani; Issa Traoré; Sherif Saad (FPS, 2019)

Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis. - William Briguglio; Sherif Saad (FPS, 2019)

The Curious Case of Machine Learning in Malware Detection. - Sherif Saad; William Briguglio; Haytham Elmiligi (ICISSP, 2019)

JSLess: A Tale of a Fileless Javascript Memory-Resident Malware. - Sherif Saad; Farhan Mahmood; William Briguglio; Haytham Elmiligi (ISPEC, 2019)

A Comprehensive Review of Pseudonym Changing Strategies in Vehicular Networks. - Ikjot Saini; Sherif Saad; Arunita Jaekel (Int. J. Netw. Secur., 2019)

A Context Aware and Traffic Adaptive Privacy Scheme in VANETs. - Ikjot Saini; Sherif Saad; Arunita Jaekel (CAVS, 2020)

Emerging Design Patterns for Blockchain Applications. - Vijay Rajasekar; Shiv Sondhi; Sherif Saad; Shady Mohammed (ICSOFT, 2020)

Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains. - Shiv Sondhi; Sherif Saad; Kevin Shi; Mohammad Mamun 001; Issa Traoré (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Spam review detection using self-organizing maps and convolutional neural networks. - Ashraf Neisari; Luis Rueda 001; Sherif Saad (Comput. Secur., 2021)

Automated detection of unstructured context-dependent sensitive information using deep learning. - Hadeer Ahmed; Issa Traoré; Sherif Saad; Mohammad Mamun 001 (Internet Things, 2021)

Predicting the Outcome of Soccer Matches Using Machine Learning and Statistical Analysis. - Haytham Elmiligi; Sherif Saad (CCWC, 2022)

iProfile: Collecting and Analyzing Keystroke Dynamics from Android Users. - Haytham Elmiligi; Sherif Saad (ICISSP, 2022)

A comprehensive pseudonym changing scheme for improving location privacy in vehicular networks. - Ikjot Saini; Sherif Saad; Arunita Jaekel (Internet Things, 2022)

Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models. - Aly M. Kassem; Omar Mahmoud; Sherif Saad (EMNLP, 2023)

Trustworthy Decentralized Last-Mile Delivery Framework Using Blockchain. - Ala' Alqaisi; Sherif Saad; Mohammad Mamun 001 (ICSBT, 2023)

Automated Feature Engineering for AutoML Using Genetic Algorithms. - Kevin Shi; Sherif Saad (SECRYPT, 2023)

Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos Engineering. - Shiv Sondhi; Sherif Saad; Kevin Shi; Mohammad Saiful Islam Mamun; Issa Traoré (CoRR, 2023)

Evaluating the effectiveness of pseudonym changing strategies for location privacy in vehicular ad-hoc network. - Ikjot Saini; Sherif Saad; Arunita Jaekel (Secur. Priv., 2023)

Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion. - Aly M. Kassem; Sherif Saad (EACL (1), 2024)

Drone Anomaly Detection: Dataset and Unsupervised Machine Learning. - Zhuo Chen; Issa Traoré; Mohammad Mamun 001; Sherif Saad (FPS (1), 2024)

TI-NERmerger: Semi-Automated Framework for Integrating NER Datasets in Cybersecurity. - Inoussa Mouiche; Sherif Saad (SECRYPT, 2024)

Feasibility of Adversarial Attacks Against Machine Learning Models. - Kimia Tahayori; Sherif Saad; Mohammad Saiful Islam Mamun; Saeed Samet (WIDECOM, 2024)

Effect of Text Augmentation and Adversarial Training on Fake News Detection. - Hadeer Ahmed; Issa Traoré; Sherif Saad; Mohammad Mamun 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Adaptive Ensemble Defense: Mitigating NLP Adversarial Attacks with Data-Augmented Voting Mechanisms. - Amira Abdelbaky; Sherif Saad; Mohammad Mamun 001 (ICISSP (2), 2025)

An Alternative Approach to Federated Learning for Model Security and Data Privacy. - William Briguglio; Waleed A. Yousef; Issa Traoré; Mohammad Mamun 001; Sherif Saad (ICISSP (1), 2025)

HybridMTD: Enhancing Robustness Against Adversarial Attacks with Ensemble Neural Networks and Moving Target Defense. - Kimia Tahayori; Sherif Saad; Mohammad Mamun 001; Saeed Samet (ICISSP (2), 2025)

Thoth: A Lightweight Framework for End-to-End Consumer IoT Rapid Testing. - Salma Roshdy Aly; Sherif Saad; Mohammad Mamun 001 (ICSOFT, 2025)

ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs. - Aly M. Kassem; Omar Mahmoud; Niloofar Mireshghallah; Hyunwoo Kim 002; Yulia Tsvetkov; Yejin Choi 001; Sherif Saad; Santu Rana (NAACL (Long Papers), 2025)

Entity and relation extractions for threat intelligence knowledge graphs. - Inoussa Mouiche; Sherif Saad (Comput. Secur., 2025)

LMDG: Advancing Lateral Movement Detection Through High-Fidelity Dataset Generation. - Anas Mabrouk; Mohamed Hatem; Mohammad Mamun 001; Sherif Saad (CoRR, 2025)