| 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 | 201 | 2020 |
| Universal adversarial perturbations for speech recognition systems P Neekhara, S Hussain, P Pandey, S Dubnov, J McAuley, F Koushanfar Interspeech 2019, 2019 | 137 | 2019 |
| WaveGuard: Understanding and Mitigating Audio Adversarial Examples S Hussain, P Neekhara, S Dubnov, J McAuley, F Koushanfar USENIX Security Symposium 2021, 2021 | 74 | 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 | 53* | 2018 |
| Expressive Neural Voice Cloning P Neekhara, S Hussain, S Dubnov, F Koushanfar, J McAuley 2021 Asian Conference on Machine Learning (ACML), 2021 | 36 | 2021 |
| 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 | 30 | 2020 |
| 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 | 29 | 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 | 26* | 2024 |
| 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 | 24 | 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 | 16 | 2023 |
| 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 | 16 | 2021 |
| Remark-llm: A robust and efficient watermarking framework for generative large language models R Zhang, SS Hussain, P Neekhara, F Koushanfar USENIX Security Symposium 2024, 2023 | 13 | 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 | 10 | 2022 |
| 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 | 5* | 2023 |
| Satellite pose estimation using convolutional neural networks S Hussain, C Bhanu, A Ravichandran, S Kondur en. In:(), 8, 2019 | 5 | 2019 |
| 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 | 3 | 2016 |
| Improving Robustness of LLM-based Speech Synthesis by Learning Monotonic Alignment P Neekhara, S Hussain, S Ghosh, J Li, R Valle, R Badlani, B Ginsburg Interspeech 2024, 2024 | 2 | 2024 |
| 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 | 2 | 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 https://dl.acm.org/doi/10.1145/3616868 28 (6), 1-32, 2023 | 1 | 2023 |
| Low Frame-rate Speech Codec: a Codec Designed for Fast High-quality Speech LLM Training and Inference E Casanova, R Langman, P Neekhara, S Hussain, J Li, S Ghosh, A Jukić, ... arXiv preprint arXiv:2409.12117, 2024 | | 2024 |
Paarth NeekharaGraduate Student, University Of California San DiegoZweryfikowany adres z ucsd.edu
