Shagufta Mehnaz
Shagufta Mehnaz
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Cited by
LTEInspector: A systematic approach for adversarial testing of 4G LTE
S Hussain, O Chowdhury, S Mehnaz, E Bertino
Network and Distributed Systems Security (NDSS) Symposium 2018, 2018
RWGuard: A Real-time Detection System Against Cryptographic Ransomware
S Mehnaz, A Mudgerikar, E Bertino
21st International Symposium on Research in Attacks, Intrusions, and …, 2018
SeamBlue: Seamless Bluetooth Low Energy Connection Migration for Unmodified IoT Devices
SR Hussain, S Mehnaz, S Nirjon, E Bertino
International Conference on Embedded Wireless Systems and Networks (EWSN …, 2017
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models
S Mehnaz, S Dibbo, E Kabir, N Li, E Bertino
31st USENIX Security Symposium (USENIX Security), 2022
Computing a Global Sum that Preserves Privacy of Parties in a Multi-party Environment
G Bellala, S Mehnaz
US Patent App. 15/410,714, 2018
A Secure Sum Protocol and Its Application to Privacy-preserving Multi-party Analytics
S Mehnaz, G Bellala, E Bertino
22nd ACM Symposium on Access Control Models and Technologies (SACMAT), 219-230, 2017
Privacy-preserving Real-time Anomaly Detection Using Edge Computing
S Mehnaz, E Bertino
36th IEEE International Conference on Data Engineering (ICDE), 2020
Ghostbuster: A Fine-grained Approach for Anomaly Detection in File System Accesses
S Mehnaz, E Bertino
7th ACM Conference on Data and Applications Security and Privacy (CODASPY), 3-14, 2017
Performing privacy-preserving multi-party analytics on vertically partitioned local data
G Bellala, S Mehnaz
US Patent 10,536,437, 2018
Performing Privacy-Preserving Multi-Party Analytics on Horizontally Partitioned Local Data
G Bellala, S Mehnaz
US Patent App. 15/421,144, 2018
Pairwise compatibility graphs revisited
S Mehnaz, MS Rahman
Informatics, Electronics & Vision (ICIEV), 2013 International Conference on, 1-6, 2013
Black-box model inversion attribute inference attacks on classification models
S Mehnaz, N Li, E Bertino
arXiv preprint arXiv:2012.03404, 2020
Building Robust Temporal User Profiles for Anomaly Detection in File System Accesses
S Mehnaz, E Bertino
IEEE International Conference on Privacy, Security and Trust (PST), 207-210, 2016
Towards sentence level inference attack against pre-trained language models
K Gu, E Kabir, N Ramsurrun, S Vosoughi, S Mehnaz
Proceedings on Privacy Enhancing Technologies, 2023
Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability
SV Dibbo, DL Chung, S Mehnaz
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023
Privacy-preserving Multi-party Analytics over Arbitrarily Partitioned Data
S Mehnaz, E Bertino
10th IEEE International Conference on Cloud Computing (IEEE CLOUD), 2017
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering
MRU Rashid, VA Dasu, K Gu, N Sultana, S Mehnaz
arXiv preprint arXiv:2310.16152, 2023
A Fine-grained Approach for Anomaly Detection in File System Accesses with Enhanced Temporal User Profiles
S Mehnaz, E Bertino
IEEE Transactions on Dependable and Secure Computing (TDSC), 2021
Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models
K Gu, MRU Rashid, N Sultana, S Mehnaz
arXiv preprint arXiv:2403.10557, 2024
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks
E Kabir, Z Song, MRU Rashid, S Mehnaz
To appear in the IEEE Symposium on Security & Privacy (S&P), 2024
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