Lavanya Basavaraju
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Lavanya Basavaraju has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Cristián Bravo
University of Western Ontario, London, Ontario, Canada
1 shared publication - Dhagash Mehta
BlackRock, Inc., New York, USA
1 shared publication - Holly Ferguson
Independent, Fremont, CA, USA
1 shared publication - Leman Akoglu
Carnegie Mellon University, Pittsburgh, PA, USA
1 shared publication - Panagiotis G. Ipeirotis
New York University, New York, NY, USA
1 shared publication - Saurabh Nagrecha
Google LLC, Mountain View, CA, USA
1 shared publication
Latest Publications
- Open Access
- 8 August 2026
- Published by Association for Computing Machinery (ACM)
- p. 13425-13426
1st Workshop on AI for Fraud and Abuse
As digital ecosystems expand in scale and complexity, malicious actors continually evolve their tactics, necessitating highly sophisticated defense mechanisms. The 1st Workshop on AI for Fraud and Abuse, held in conjunction with KDD 2026, bridges industry and academia to address these challenges. This workshop highlights the latest advancements in artificial intelligence tailored for trust and safety, with a specific focus on leveraging Generative AI, addressing real-world application challenges, navigating ethical and regulatory landscapes, and advancing open science through benchmarking. Through a combination of expert keynotes and peer-reviewed technical presentations, the workshop aims to foster collaboration and accelerate the development of robust, scalable fraud detection systems.
- 8 August 2026
- Published by Association for Computing Machinery (ACM)
- p. 13425-13426
Open Access1st Workshop on AI for Fraud and Abuse
As digital ecosystems expand in scale and complexity, malicious actors continually evolve their tactics, necessitating highly sophisticated defense mechanisms. The 1st Workshop on AI for Fraud and Abuse, held in conjunction with KDD 2026, bridges industry and academia to address these challenges. This workshop highlights the latest advancements in artificial intelligence tailored for trust and safety, with a specific focus on leveraging Generative AI, addressing real-world application challenges, navigating ethical and regulatory landscapes, and advancing open science through benchmarking. Through a combination of expert keynotes and peer-reviewed technical presentations, the workshop aims to foster collaboration and accelerate the development of robust, scalable fraud detection systems.