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Shaona Ghosh
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2020 – today
- 2025
[c11]Traian Rebedea, Leon Derczynski, Shaona Ghosh, Makesh Narsimhan Sreedhar, Faeze Brahman, Liwei Jiang, Bo Li, Yulia Tsvetkov, Christopher Parisien, Yejin Choi:
Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications. ACL (5) 2025: 13-15
[c10]Shaona Ghosh, Amrita Bhattacharjee, Yftah Ziser, Christopher Parisien:
A Simple Yet Effective Method for Non-Refusing Context Relevant Fine-grained Safety Steering in LLMs. EMNLP 2025: 35128-35148
[c9]Nihar Sanda, Rajat Shinde, Sumit Nawathe, William Seawright, Shaona Ghosh, Manil Maskey:
GeoSAFE - A Novel Geospatial Artificial Intelligence Safety Assurance Framework and Evaluation for LLM Moderation. IJCNLP-AACL (Findings) 2025: 2214-2237
[c8]Raviraj Joshi, Rakesh Paul, Kanishk Singla, Anusha Kamath, Michael Evans, Katherine Luna, Shaona Ghosh, Utkarsh Vaidya, Eileen Peters Long, Sanjay Singh Chauhan, Niranjan Wartikar:
CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications. IJCNLP-AACL (long papers) 2025: 2666-2685
[c7]Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, Aishwarya Padmakumar, Traian Rebedea, Jibin Rajan Varghese, Christopher Parisien:
AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails. NAACL (Long Papers) 2025: 5992-6026
[i13]Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, Aishwarya Padmakumar, Traian Rebedea, Jibin Rajan Varghese, Christopher Parisien:
Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails. CoRR abs/2501.09004 (2025)
[i12]Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt D. Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion
, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné
, Abhinav Singh, Max Bartolo, Satyapriya Krishna, Mubashara Akhtar, Rafael Gold, Cody Coleman, Luis Oala, Vassil Tashev, Joseph Marvin Imperial, Amy Russ, Sasidhar Kunapuli, Nicolas Miailhe, Julien Delaunay, Bhaktipriya Radharapu, Rajat Shinde, Tuesday, Debojyoti Dutta, Declan Grabb, Ananya Gangavarapu, Saurav Sahay, Agasthya Gangavarapu, Patrick Schramowski, Stephen Singam, Tom David, Xudong Han, Priyanka Mary Mammen, Tarunima Prabhakar, Venelin Kovatchev, Ahmed Ahmed, Kelvin N. Manyeki, Sandeep Madireddy, Foutse Khomh, Fedor Zhdanov, Joachim Baumann, Nina Vasan, Xianjun Yang, Carlos Mougn, Jibin Rajan Varghese, Hussain Chinoy, Seshakrishna Jitendar, Manil Maskey, Claire V. Hardgrove, Tianhao Li, Aakash Gupta, Emil Joswin, Yifan Mai, Shachi H. Kumar, Cigdem Patlak, Kevin Lu, Vincent Alessi, Sree Bhargavi Balija, Chenhe Gu, Robert Sullivan, James Gealy, Matt Lavrisa, James Goel, Peter Mattson, Percy Liang, Joaquin Vanschoren
:
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. CoRR abs/2503.05731 (2025)
[i11]Jonathan Bennion, Shaona Ghosh, Mantek Singh, Nouha Dziri:
Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis. CoRR abs/2505.17636 (2025)
[i10]Shaona Ghosh, Amrita Bhattacharjee, Yftah Ziser, Christopher Parisien:
SafeSteer: Interpretable Safety Steering with Refusal-Evasion in LLMs. CoRR abs/2506.04250 (2025)
[i9]Raviraj Joshi, Rakesh Paul, Kanishk Singla, Anusha Kamath, Michael Evans, Katherine Luna, Shaona Ghosh, Utkarsh Vaidya, Eileen Long, Sanjay Singh Chauhan, Niranjan Wartikar:
CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications. CoRR abs/2508.01710 (2025)
[i8]Shaona Ghosh, Barnaby Simkin, Kyriacos Shiarlis, Soumili Nandi, Dan Zhao, Matthew Fiedler, Julia Bazinska, Nikki Pope, Roopa Prabhu, Daniel Rohrer, Michael Demoret, Bartley Richardson:
A Safety and Security Framework for Real-World Agentic Systems. CoRR abs/2511.21990 (2025)- 2024
[c6]Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Jiaqi Zeng, Christopher Parisien:
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues. EMNLP (Findings) 2024: 12232-12252
[i7]Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Christopher Parisien:
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues. CoRR abs/2404.03820 (2024)
[i6]Shaona Ghosh, Prasoon Varshney
, Erick Galinkin, Christopher Parisien:
AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts. CoRR abs/2404.05993 (2024)
[i5]Amrita Bhattacharjee, Shaona Ghosh, Traian Rebedea, Christopher Parisien:
Towards Inference-time Category-wise Safety Steering for Large Language Models. CoRR abs/2410.01174 (2024)- 2021
[i4]Mona Zehni, Shaona Ghosh, Krishna Sridhar, Sethu Raman:
Joint Learning of Portrait Intrinsic Decomposition and Relighting. CoRR abs/2106.15305 (2021)
2010 – 2019
- 2017
[i3]Shaona Ghosh, Per Ola Kristensson:
Neural Networks for Text Correction and Completion in Keyboard Decoding. CoRR abs/1709.06429 (2017)- 2016
[j1]Shaona Ghosh
:
Online machine learning for networked data. AI Matters 2(3): 20-22 (2016)
[c5]Shaona Ghosh
, Adam Prügel-Bennett:
Extended Formulations for Online Action Selection on Big Action Sets. INNS Conference on Big Data 2016: 160-168
[i2]Shaona Ghosh:
Network Lasso Optimization For Smart City Ride Share Prediction. CoRR abs/1606.03276 (2016)- 2015
[c4]Shaona Ghosh, Adam Prügel-Bennett:
Online Mean Field Approximation for Automated Experimentation. MLIS@ICML 2015: 31-35
[c3]Mark Herbster, Stephen Pasteris, Shaona Ghosh:
Online Prediction at the Limit of Zero Temperature. NIPS 2015: 2935-2943
[c2]Shaona Ghosh
, Adam Prügel-Bennett:
Ising Bandits with Side Information. ECML/PKDD (1) 2015: 448-463- 2013
[c1]Shaona Ghosh, Chris Lovell, Steve R. Gunn:
Towards Pareto Descent Directions in Sampling Experts for Multiple Tasks in an On-Line Learning Paradigm. AAAI Spring Symposium: Lifelong Machine Learning 2013
[i1]Shaona Ghosh, Adam Prügel-Bennett:
Extended Formulations for Online Linear Bandit Optimization. CoRR abs/1311.5022 (2013)
Coauthor Index

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