| Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction MF Rabby, Y Tu, MI Hossen, I Lee, AS Maida, X Hei BMC Medical Informatics and Decision Making 21, 1-15, 2021 | 119 | 2021 |
| An Object Detection based Solver for {Google’s} Image {reCAPTCHA} v2 MI Hossen, Y Tu, MF Rabby, MN Islam, H Cao, X Hei 23rd international symposium on research in attacks, intrusions and defenses …, 2020 | 23 | 2020 |
| A low-cost attack against the hcaptcha system MI Hossen, X Hei 2021 IEEE Security and Privacy Workshops (SPW), 422-431, 2021 | 9 | 2021 |
| aaecaptcha: The design and implementation of audio adversarial captcha I Hossen, X Hei 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), 430-447, 2022 | 7 | 2022 |
| Generating cyber threat intelligence to discover potential security threats using classification and topic modeling MI Hossen, A Islam, F Anowar, E Ahmed, MM Rahman Cyber Security Using Modern Technologies, 141-153, 2021 | 6 | 2021 |
| A first look at the security of EEG-based systems and intelligent algorithms under physical signal injections MI Hossen, Y Tu, X Hei Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems …, 2023 | 3 | 2023 |
| Auditory Eyesight: Demystifying {μs-Precision} Keystroke Tracking Attacks on Unconstrained Keyboard Inputs Y Tu, L Shan, MI Hossen, S Rampazzi, K Butler, X Hei 32nd USENIX Security Symposium (USENIX Security 23), 175-192, 2023 | 3 | 2023 |
| Assessing Cybersecurity Vulnerabilities in Code Large Language Models MI Hossen, J Zhang, Y Cao, X Hei arXiv preprint arXiv:2404.18567, 2024 | 1 | 2024 |
| Bots Work Better than Human Beings: An Online System to Break Google’s Image-based reCaptcha v2 I Hossen, Y Tu, F Rabby, MN Islam, H Cao, X Hei | 1 | 2019 |
| Can't say cant? Measuring and Reasoning of Dark Jargons in Large Language Models X Ji, J Zhang, Z Zhou, Z Zhao, Q Qiao, K Han, MI Hossen, X Hei arXiv preprint arXiv:2405.00718, 2024 | | 2024 |
| Facebook Report on Privacy of fNIRS data MI Hossen, SV Chilukoti, L Shan, VS Tida, X Hei arXiv preprint arXiv:2401.00973, 2024 | | 2024 |
| Auto DP-SGD: Dual Improvements of Privacy and Accuracy via Automatic Clipping Threshold and Noise Multiplier Estimation SV Chilukoti, MI Hossen, L Shan, VS Tida, X Hei | | 2023 |
| Auto DP-SGD: Dual Improvements of Privacy and Accuracy via Automatic Clipping Threshold and Noise Multiplier Estimation S Venkatesh Chilukoti, MI Hossen, L Shan, V Srinivas Tida, X Hei arXiv e-prints, arXiv: 2312.02400, 2023 | | 2023 |
| Research on Attacks, Defenses and Designs of Image and Audio CAPTCHAs MI Hossen University of Louisiana at Lafayette, 2022 | | 2022 |
| Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction M Fazle Rabby, Y Tu, MI Hossen, I Le, AS Maida, X Hei arXiv e-prints, arXiv: 2101.06850, 2021 | | 2021 |
| Dp-Sgd-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness Via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold SV Chilukoti, MI Hossen, L Shan, VS Tida, MM Bappy, W Tian, X Hei Accuracy and Fairness Via Step Decay Noise Multiplier and Step Decay Upper …, 0 | | |
| 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P)| 978-1-6654-1614-6/22/$31.00© 2022 IEEE| DOI: 10.1109/EUROSP53844. 2022.00051 AM Ahmadian, A Akavia, M Alhanahnah, G Almashaqbeh, G Apruzzese, ... | | |
