Publications
2024
Understanding Underground Incentivized Review Services
Rajvardhan Oak, Zubair Shafiq
[CHI 2024]
Haewon Byeon, Mohammad Shabaz, Kapil Shrivastava, Anjali Joshi, Ismail Keshta, Rajvardhan Oak, Pavitar Parkash Singh, Mukesh Soni
[Elsevier Computers and Electrical Engineering]
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 Journal of Data and Information Quality Vol 15 Issue 3]
Ethics of Adversarial Machine Learning and Data Poisoning
Laurynas Adomaitis, Rajvardhan Oak
[Springer Nature Digital Society Vol 2 Issue 8]
2022
Towards Authorship Obfuscation with Language Models
Rajvardhan Oak
[CCS 2022]
2020
Artificial Intelligence: Ethics in Practice
Jessica Newman and Rajvardhan Oak
[USENIX 2020 login]
Time for a Background Check! Uncovering the Impact of Background Features on Deep Neural Networks
Vikash Sehwag, Rajvardhan Oak, Mung Chiang, and Prateek Mittal.
[ICML OOL Workshop 2020]
Mrunmayee Khare, Rajvardhan Oak
[Springer Performance Management of Integrated Systems and its Applications in Software Engineering 2020]
2019
Malware detection on highly imbalanced data through sequence modeling
Rajvardhan Oak, Min Du, David Yan, Harshvardhan Takawale, and Idan Amit.
[AISec 2019]
Lifelong anomaly detection through unlearning
Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, and Dawn Song
[CCS 2019]
Adversarial Examples for Hate Speech Classifiers
Rajvardhan Oak
[CCS 2019]