| 2025 | ACL | Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms. | Rajvardhan Oak, Muhammad Haroon, Claire Wonjeong Jo, Magdalena Wojcieszak, Anshuman Chhabra |
| 2025 | ICWSM | Towards Characterizing and Detecting Incentivized Reviews on eCommerce Platforms. | Rajvardhan Oak, Zubair Shafiq |
| 2025 | SOUPS | "Hello, is this Anna?": Unpacking the Lifecycle of Pig-Butchering Scams. | Rajvardhan Oak, Zubair Shafiq |
| 2025 | SOUPS | Victims, Vigilantes, and Advice Givers: An Analysis of Scam-Related Discourse on Reddit. | Rajvardhan Oak, Zubair Shafiq |
| 2024 | CHI | Understanding Underground Incentivized Review Services. | Rajvardhan Oak, Zubair Shafiq |
| 2022 | CCS | Poster - Towards Authorship Obfuscation with Language Models. | Rajvardhan Oak |
| 2019 | CCS | Lifelong Anomaly Detection Through Unlearning. | Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song |
| 2019 | CCS | Poster: Adversarial Examples for Hate Speech Classifiers. | Rajvardhan Oak |
| 2019 | CCS | Malware Detection on Highly Imbalanced Data through Sequence Modeling. | Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit |
| 2019 | CCS | Poster: Using Generative Adversarial Networks for Secure Pseudorandom Number Generation. | Rajvardhan Oak, Chaitanya Rahalkar, Dhaval Gujar |