publications
publications by categories in reversed chronological order. generated by jekyll-scholar. For latest publications please see [Google Scholar](https://scholar.google.com/citations?user=wiNtxkwAAAAJ&hl=en)
2026
- Taxonomy-Driven Performance Analysis of Retrieval-Based Open-ended Factuality Evaluation: A Medical Case StudyUnder Review, ACL ARR May 2026, 2026
- Expert Annotation of AI Health Advice as Calibrated Measurement: Lessons from Experience for Rubric Design, Calibration, and Safety EvaluationUnder Review, JMIR AI, 2026
- A Deployment Specific Safety Framework for Patient Facing Medical AI ChatbotsUnder Review, Nature, 2026
- Same Verdict, Different Reasons: LLM-as-a-Judge and Clinician Disagreement on Medical Chatbot CompletenessarXiv preprint arXiv:2604.16383, 2026
2025
- Securing Speech Systems Against Adversarial and Poisoning AttacksPhD thesis, 2025
- Multi-Target Backdoor Attacks Against Speaker RecognitionarXiv preprint arXiv:2508.08559, 2025
- MedExpert: An Expert-Annotated Dataset for Medical Chatbot EvaluationIn Machine Learning for Health 2025, 2025
2024
- Unraveling Adversarial Examples against Speaker Identification–Techniques for Attack Detection and Victim Model ClassificationarXiv preprint arXiv:2402.19355, 2024
- Clean Label Attacks Against SLU SystemsIn 2024 IEEE Spoken Language Technology Workshop (SLT), 2024
2023
- Clustering unsupervised representations as defense against poisoning attacks on speech commands classification systemIn 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2023
- Joint Energy-Based Model for Robust Speech Classification System Against Dirty-Label Backdoor Poisoning AttacksIn 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2023
2022
- Method and system for generating synthetic multi-conditioned data sets for robust automatic speech recognitionMay 2022US Patent 11,335,329
- Features search and selection techniques for speaker and speech recognitionMay 2022US Patent 11,322,156
- Defense against adversarial attacks on hybrid speech recognition using joint adversarial fine-tuning with denoiserarXiv preprint arXiv:2204.03851, 2022
- Advest: Adversarial perturbation estimation to classify and detect adversarial attacks against speaker identificationarXiv preprint arXiv:2204.03848, 2022
- Chunking Defense for Adversarial Attacks on ASRProc. Interspeech 2022, 2022
2021
- Adversarial attacks and defenses for speech recognition systemsarXiv preprint arXiv:2103.17122, 2021
- Study of pre-processing defenses against adversarial attacks on state-of-the-art speaker recognition systemsIEEE Transactions on Information Forensics and Security, 2021
- Automatic detection and assessment of Alzheimer disease using speech and language technologies in low-resource scenarios.In Interspeech, 2021
- Representation learning to classify and detect adversarial attacks against speaker and speech recognition systemsarXiv preprint arXiv:2107.04448, 2021
2019
- Comparing front-end enhancement techniques and multiconditioned training for robust automatic speech recognitionIn International Conference on Text, Speech, and Dialogue, 2019
- Generative Noise Modeling and Channel Simulation for Robust Speech Recognition in Unseen Conditions.In INTERSPEECH, 2019
- Front-End Feature Compensation and Denoising for Noise Robust Speech Emotion Recognition.In INTERSPEECH, 2019
2018
- NMF based front-end processing in multichannel distant speech recognitionIn Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, 2018
- CHiME 2018 Workshop: Enhancing beamformed audio using Time Delay Neural Network De-noising AutoencoderSystem, 2018
- Enhanced denoising auto-encoder for robust speech recognition in unseen noise conditionsIn International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018