| 2026 | EACL | Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs. | Arya Labroo, Ivaxi Sheth, Vyas Raina, Amaani Ahmed, Mario Fritz |
| 2025 | EMNLP | Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs. | Rao Ma, Mengjie Qian, Vyas Raina, Mark J. F. Gales, Kate M. Knill |
| 2024 | ACL | Extreme Miscalibration and the Illusion of Adversarial Robustness. | Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis |
| 2024 | EMNLP | LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. | Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz |
| 2024 | EMNLP | Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment. | Vyas Raina, Adian Liusie, Mark J. F. Gales |
| 2024 | EMNLP | Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models. | Vyas Raina, Rao Ma, Charles McGhee, Kate M. Knill, Mark J. F. Gales |
| 2023 | IJCNLP | Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems. | Vyas Raina, Mark J. F. Gales |
| 2022 | IJCNLP | Analyzing Biases to Spurious Correlations in Text Classification Tasks. | Adian Liusie, Vatsal Raina, Vyas Raina, Mark J. F. Gales |
| 2022 | IJCNLP | Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks? | Vyas Raina, Yiting Lu, Mark J. F. Gales |
| 2022 | NAACL | Residue-Based Natural Language Adversarial Attack Detection. | Vyas Raina, Mark J. F. Gales |
| 2020 | Interspeech | Universal Adversarial Attacks on Spoken Language Assessment Systems. | Vyas Raina, Mark J. F. Gales, Kate M. Knill |