Saranya Vijayakumar

According to our database, Saranya Vijayakumar authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Sequential Pattern Recognition Attacks against Deployed Topic-Based Mechanisms.

Saranya Vijayakumar, Norman Sadeh, Matt Fredrikson

Proceedings of the 12th International Conference on Information Systems Security and Privacy, 2026

2025

Prototype-Integrated Representation Learning for Novelty Detection.

Saranya Vijayakumar, Christos Faloutsos, Matt Fredrikson

Proceedings of the 24th IEEE International Conference on Trust, 2025

Validating Mechanistic Interpretations: An Axiomatic Approach.

Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Aligned LLMs Are Not Aligned Browser Agents.

Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T. Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean M. Hendryx, Summer Yue, Zifan Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents.

Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Scale Red Team, Elaine T. Chang, Vaughn Robinson, Sean Hendryx, Shuyan Zhou, Matt Fredrikson, Summer Yue, Zifan Wang

CoRR, 2024

Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approach.

Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha

CoRR, 2024

2023

Learning Modulo Theories.

Matt Fredrikson, Kaiji Lu, Saranya Vijayakumar, Somesh Jha, Vijay Ganesh, Zifan Wang

CoRR, 2023

Grounding Neural Inference with Satisfiability Modulo Theories.

Zifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs.

Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs.

Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs.

Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos

Proceedings of the IEEE International Conference on Big Data, 2022