Conference Proceedings
- Md Rafi Ur Rashid, Vishnu Dasu, Ye Wang, Gang Tan and Shagufta Mehnaz, 2026, "Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models"
- Aryan Pasikhani, Prosanta Gope, Yang Yang, Shagufta Mehnaz and Biplab Sikdar, 2026, "Baiting AI: Deceptive Adversary Against AI-Protected Industrial Infrastructures"
- Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang and Shagufta Mehnaz, 2025, "Forget to Flourish: Leveraging Machine-Unlearning on Pre-trained Language Models for Privacy Leakage", The 39th Annual AAAI Conference on Artificial Intelligence 2025
- Najrin Sultana, Md Rafi Ur Rashid, Kang Gu and Shagufta Mehnaz, 2025, "From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation"
- Daniel Alabi, Sainyam Galhotra, Shagufta Mehnaz, Zeyu Song and Eugene Wu, 2025, "Privacy and Security in Distributed Data Markets"
- Zeyu Song, Ehsanul Kabir and Shagufta Mehnaz, 2025, "GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models", The 25th Privacy Enhancing Technologies Symposium (PETS) 2025
- Ehsanul Kabir, Lucas Craig and Shagufta Mehnaz, 2025, "Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses", The 34th USENIX Security Symposium 2025
- Kang Gu, Md Rafi Ur Rashid, Najrin Sultana and Shagufta Mehnaz, 2025, "Robust Unlearning for Large Language Models", The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2025
- Ehsanul Kabir, Zeyu Song, Md Rafi Ur Rashid and Shagufta Mehnaz, 2024, "FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks", IEEE Symposium on Security & Privacy (S&P) 2024
- Kang Gu, Chongyang Gao, Soroush Vosoughi and Shagufta Mehnaz, 2024, "Semantic-Preserving Adversarial Example Attack against BERT", TrustNLP: Fourth Workshop on Trustworthy Natural Language Processing
- Kang Gu, Ehsanul Kabir, Neha Ramsurrun, Soroush Vosoughi and Shagufta Mehnaz, 2023, "Towards Sentence Level Inference Attack Against Pre-trained Language Models", 23rd Privacy Enhancing Technologies Symposium (PETS 2023)
- Sayanton V Dibbo, Dae Lim Chung and Shagufta Mehnaz, 2023, "Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability", First IEEE Conference on Secure and Trustworthy Machine Learning
- Trishna Chakraborty, Imranur Rahman, Hasan Murad, Md Shohrab Hossain and Shagufta Mehnaz, 2023, "SecureImgStego: A Keyed Shuffling-based Deep Learning Model for Secure Image Steganography", IEEE Conference on Communications and Network Security (CNS) 2023
- Shagufta Mehnaz, Sayanton V Dibbo, Ehasnul Kabir, Ninghui Li and Elisa Bertino, 2022, "Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models", USENIX Security 2022
- Shagufta Mehnaz and Elisa Bertino, 2020, "Privacy-preserving Real-time Anomaly Detection Using Edge Computing", 2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020), pp. 469-480
- Syed Rafiul Hussain, Omar Chowdhury, Shagufta Mehnaz and Elisa Bertino, 2018, "LTEInspector: A Systematic Approach for Adversarial Testing of 4G LTE", 25TH ANNUAL NETWORK AND DISTRIBUTED SYSTEM SECURITY SYMPOSIUM (NDSS 2018)
- Shagufta Mehnaz, Anand Mudgerikar and Elisa Bertino, 2018, "RWGuard: A Real-Time Detection System Against Cryptographic Ransomware", RESEARCH IN ATTACKS, INTRUSIONS, AND DEFENSES, RAID 2018, 11050, pp. 114-136
- Shagufta Mehnaz, Gowtham Bellala and Elisa Bertino, 2017, "A Secure Sum Protocol and Its Application to Privacy-preserving Multi-party Analytics", PROCEEDINGS OF THE 22ND ACM SYMPOSIUM ON ACCESS CONTROL MODELS AND TECHNOLOGIES (SACMAT'17), pp. 219-230
- Shagufta Mehnaz and Elisa Bertino, 2017, "Ghostbuster: A Fine-grained Approach for Anomaly Detection in File System Accesses", PROCEEDINGS OF THE SEVENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY (CODASPY'17), pp. 3-14
- Shagufta Mehnaz and Elisa Bertino, 2017, "Privacy-preserving Multi-party Analytics over Arbitrarily Partitioned Data", 2017 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), pp. 342-349
- Shagufta Mehnaz and Elisa Bertino, 2016, "Building Robust Temporal User Profiles for Anomaly Detection in File System Accesses", 2016 14TH ANNUAL CONFERENCE ON PRIVACY, SECURITY AND TRUST (PST)
- Shagufta Mehnaz and Md. Sohel Rahman, 2013, "Pairwise Compatibility Graphs Revisited", 2013 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV)
- Md Rafi Ur Rashid, Vishnu Asutosh Dasu, Kang Gu, Najrin Sultana and Shagufta Mehnaz, , "FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering"
- Ehsanul Kabir, Najrin Sultana, Ninghui Li and Shagufta Mehnaz, , "Can we estimate privacy vulnerability of individual records? Towards Mitigating Attribute Inference Attacks on ML Models"
