Shehzeen Samarah Hussain
Shehzeen Samarah Hussain
Research Scientist at Nvidia | PhD from University of California, San Diego
Zweryfikowany adres z ucsd.edu - Strona główna
Cytowane przez
Cytowane przez
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
S Hussain, P Neekhara, M Jere, F Koushanfar, J McAuley
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
Universal adversarial perturbations for speech recognition systems
P Neekhara, S Hussain, P Pandey, S Dubnov, J McAuley, F Koushanfar
Interspeech 2019, 2019
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
S Hussain, P Neekhara, S Dubnov, J McAuley, F Koushanfar
USENIX Security Symposium 2021, 2021
Adversarial Reprogramming of Text Classification Neural Networks
P Neekhara, S Hussain, S Dubnov, F Koushanfar
2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Fastwave: Accelerating autoregressive convolutional neural networks on fpga
S Hussain, M Javaheripi, P Neekhara, R Kastner, F Koushanfar
ICCAD 2019 - IEEE/ACM International Conference on Computer-Aided Design, 2020
Expressive Neural Voice Cloning
P Neekhara, S Hussain, S Dubnov, F Koushanfar, J McAuley
2021 Asian Conference on Machine Learning (ACML), 2021
Cross-modal Adversarial Reprogramming
P Neekhara, S Hussain, J Du, S Dubnov, F Koushanfar, J McAuley
2022 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks
S Hussain, P Neekhara, B Dolhansky, J Bitton, C Canton Ferrer, ...
ACM Digital Threats: Research and Practice, 2021
FaceSigns: Semi-Fragile Watermarks for Media Authentication
P Neekhara, S Hussain, X Zhang, K Huang, J McAuley, F Koushanfar
ACM Transactions on Multimedia Computing, Communications and Applications, 2024
Multi-task Voice Activated Framework using Self-supervised Learning
S Hussain, V Nguyen, S Zhang, E Visser
2022 ICASSP - IEEE International Conference on Acoustics, Speech and Signal …, 2021
ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations
S Hussain, P Neekhara, J Huang, J Li, B Ginsburg
2023 ICASSP - IEEE International Conference on Acoustics, Speech and Signal …, 2023
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs
S Hussain, N Sheybani, P Neekhara, X Zhang, J Duarte, F Koushanfar
ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2022
Remark-llm: A robust and efficient watermarking framework for generative large language models
R Zhang, SS Hussain, P Neekhara, F Koushanfar
arXiv preprint arXiv:2310.12362, 2023
Macroeconomic factors, working capital management, and firm performance—A static and dynamic panel analysis. Humanities and Social Sciences Communications, 8 (1)
S Hussain, VC Nguyen, QM Nguyen, HT Nguyen, TT Nguyen
Satellite pose estimation using convolutional neural networks
S Hussain, C Bhanu, A Ravichandran, S Kondur
en. In:(), 8, 2019
ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems
S Hussain, T Huster, C Mesterharm, P Neekhara, F Koushanfar
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023
Overlay optimization for 1x node technology and beyond via rule based sparse sampling
NL Aung, WJ Chung, L Subramany, S Hussain, P Samudrala, H Gao, ...
Metrology, Inspection, and Process Control for Microlithography XXX 9778 …, 2016
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
P Neekhara, S Hussain, R Valle, B Ginsburg, R Ranjan, S Dubnov, ...
International Conference on Machine Learning, 2024
Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings
R Zhang, S Hussain, H Chen, M Javaheripi, F Koushanfar
ACM Transactions on Design Automation of Electronic Systems 28 (6), 1-32, 2023
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression
JW Chang, N Sheybani, SS Hussain, M Javaheripi, S Hidano, ...
International Conference on Learning Representations Workshop, 2023
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