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2020 – today
- 2024
[i3]Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha:
Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approach. CoRR abs/2407.13594 (2024)- [i2]Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Scale Red Team, Elaine Chang, Vaughn Robinson, Sean Hendryx, Shuyan Zhou, Matt Fredrikson, Summer Yue, Zifan Wang:
Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents. CoRR abs/2410.13886 (2024) - 2023
- [c4]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:
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI 2023: 16410-16412 - [c3]Mirela Teixeira Cazzolato, Saranya Vijayakumar
, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos:
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. CIKM 2023: 4509-4515 - [c2]Zifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson:
Grounding Neural Inference with Satisfiability Modulo Theories. NeurIPS 2023 - [i1]Matt Fredrikson, Kaiji Lu, Saranya Vijayakumar, Somesh Jha, Vijay Ganesh, Zifan Wang:
Learning Modulo Theories. CoRR abs/2301.11435 (2023) - 2022
- [c1]Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos:
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. IEEE Big Data 2022: 2214-2217
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