Rajvardhan Oak

According to our database, Rajvardhan Oak authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

"Hello, is this Anna?": A First Look at Pig-Butchering Scams.

Rajvardhan Oak, Zubair Shafiq

CoRR, March, 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, January, 2025

Victims, Vigilantes, and Advice Givers: An Analysis of Scam-Related Discourse on Reddit.

Rajvardhan Oak, Zubair Shafiq

Proceedings of the Twenty-First Symposium on Usable Privacy and Security, 2025

"Hello, is this Anna?": Unpacking the Lifecycle of Pig-Butchering Scams.

Rajvardhan Oak, Zubair Shafiq

Proceedings of the Twenty-First Symposium on Usable Privacy and Security, 2025

Towards Characterizing and Detecting Incentivized Reviews on eCommerce Platforms.

Rajvardhan Oak, Zubair Shafiq

Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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., January, 2024

Understanding Underground Incentivized Review Services.

Rajvardhan Oak, Zubair Shafiq

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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., September, 2023

Ethics of Adversarial Machine Learning and Data Poisoning.

Laurynas Adomaitis, Rajvardhan Oak

Digit. Soc., April, 2023

2022

Poster - Towards Authorship Obfuscation with Language Models.

Rajvardhan Oak

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

The Fault in the Stars: Understanding the Underground Market of Amazon Reviews.

Rajvardhan Oak

CoRR, 2021

2020

Artificial Intelligence: Ethics in Practice.

Jessica Cussins Newman, Rajvardhan Oak

login Usenix Mag., 2020

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

2019

Poster: Using Generative Adversarial Networks for Secure Pseudorandom Number Generation.

Rajvardhan Oak, Chaitanya Rahalkar, Dhaval Gujar

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Malware Detection on Highly Imbalanced Data through Sequence Modeling.

Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

Poster: Adversarial Examples for Hate Speech Classifiers.

Rajvardhan Oak

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Lifelong Anomaly Detection Through Unlearning.

Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Smart Collaboration Mechanism Using Blockchain Technology.

Karanveer Singh Jhala, Rajvardhan Oak, Mrunmayee Khare

Proceedings of the 5th IEEE International Conference on Cyber Security and Cloud Computing, 2018