Smart Collaboration Mechanism Using Blockchain Technology. - Karanveer Singh Jhala; Rajvardhan Oak; Mrunmayee Khare (CSCloud/EdgeCom, 2018)

Lifelong Anomaly Detection Through Unlearning. - Min Du 003; Zhi Chen 028; Chang Liu 021; Rajvardhan Oak; Dawn Song (CCS, 2019)

Poster: Adversarial Examples for Hate Speech Classifiers. - Rajvardhan Oak (CCS, 2019)

Malware Detection on Highly Imbalanced Data through Sequence Modeling. - Rajvardhan Oak; Min Du 003; David Yan; Harshvardhan C. Takawale; Idan Amit (AISec@CCS, 2019)

Poster: Using Generative Adversarial Networks for Secure Pseudorandom Number Generation. - Rajvardhan Oak; Chaitanya Rahalkar; Dhaval Gujar (CCS, 2019)

Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks. - Vikash Sehwag; Rajvardhan Oak; Mung Chiang; Prateek Mittal (CoRR, 2020)

Artificial Intelligence: Ethics in Practice. - Jessica Cussins Newman; Rajvardhan Oak (login Usenix Mag., 2020)

The Fault in the Stars: Understanding the Underground Market of Amazon Reviews. - Rajvardhan Oak (CoRR, 2021)

Poster - Towards Authorship Obfuscation with Language Models. - Rajvardhan Oak (CCS, 2022)

Ethics of Adversarial Machine Learning and Data Poisoning. - Laurynas Adomaitis; Rajvardhan Oak (Digit. Soc., 2023)

Fusion-based Representation Learning Model for Multimode User-generated Social Network Content. - R. John Martin; Rajvardhan Oak; Mukesh Soni; V. Mahalakshmi; Arsalan Muhammad Soomar; Anjali Joshi (ACM J. Data Inf. Qual., 2023)

Understanding Underground Incentivized Review Services. - Rajvardhan Oak; Zubair Shafiq (CHI, 2024)

Deep learning model to detect deceptive generative adversarial network generated images using multimedia forensic. - Haewon Byeon; Mohammad Shabaz; Kapil Shrivastava; Anjali Joshi; Ismail Keshta; Rajvardhan Oak; Pavitar Parkash Singh; Mukesh Soni (Comput. Electr. Eng., 2024)

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 (ACL (1), 2025)

Towards Characterizing and Detecting Incentivized Reviews on eCommerce Platforms. - Rajvardhan Oak; Zubair Shafiq (ICWSM, 2025)

"Hello, is this Anna?": Unpacking the Lifecycle of Pig-Butchering Scams. - Rajvardhan Oak; Zubair Shafiq (SOUPS, 2025)

Victims, Vigilantes, and Advice Givers: An Analysis of Scam-Related Discourse on Reddit. - Rajvardhan Oak; Zubair Shafiq (SOUPS, 2025)

Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models. - Akash Bonagiri; Lucen Li; Rajvardhan Oak; Zeerak Babar; Magdalena Wojcieszak; Anshuman Chhabra (CoRR, 2025)

"Hello, is this Anna?": A First Look at Pig-Butchering Scams. - Rajvardhan Oak; Zubair Shafiq (CoRR, 2025)