Ambrish Rawat
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | Attention Tracker: Detecting Prompt Injection Attacks in LLMs. | Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen |
| 2025 | NAACL | Granite Guardian: Comprehensive LLM Safeguarding. | Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martn Santilln Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri |
| 2024 | AIES | MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks. | Giandomenico Cornacchia, Giulio Zizzo, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Mark Purcell |
| 2023 | ACL | Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. | Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo |
| 2022 | AAAI | Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization. | Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea |
| 2022 | ESORICS | The Devil Is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models. | Ambrish Rawat, Killian Levacher, Mathieu Sinn |
| 2021 | AAAI | Searching for Machine Learning Pipelines Using a Context-Free Grammar. | Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea |
| 2020 | IJCNN | Survey on Automated End-to-End Data Science? | Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray |
| 2018 | AISTATS | Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training. | Mathieu Sinn, Ambrish Rawat |
| 2017 | CCS | Efficient Defenses Against Adversarial Attacks. | Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat |