Aditya Kuppa

According to our database, Aditya Kuppa authored at least 14 papers between 2018 and 2023.

Collaborative distances:

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

2023

Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

CoRR, 2023

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya K, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li

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

SoK: The Next Phase of Identifying Illicit Activity in Bitcoin.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

Learn to Adapt: Robust Drift Detection in Security Domain.

Aditya Kuppa, Nhien-An Le-Khac

CoRR, 2022

2021

Adversarial XAI Methods in Cybersecurity.

Aditya Kuppa, Nhien-An Le-Khac

IEEE Trans. Inf. Forensics Secur., 2021

Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape.

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac

IEEE Access, 2021

Towards Improving Privacy of Synthetic DataSets.

Aditya Kuppa, Lamine M. Aouad, Nhien-An Le-Khac

Proceedings of the Privacy Technologies and Policy - 9th Annual Privacy Forum, 2021

Linking CVE's to MITRE ATT&CK Techniques.

Aditya Kuppa, Lamine M. Aouad, Nhien-An Le-Khac

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Black Box Attacks on Explainable Artificial Intelligence(XAI) methods in Cyber Security.

Aditya Kuppa, Nhien-An Le-Khac

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Effect of Security Controls on Patching Window: A Causal Inference based Approach.

Aditya Kuppa, Lamine M. Aouad, Nhien-An Le-Khac

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection.

Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar, Nhien-An Le-Khac

Proceedings of the 18th IEEE International Conference On Trust, 2019

Black Box Attacks on Deep Anomaly Detectors.

Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar, Nhien-An Le-Khac

Proceedings of the 14th International Conference on Availability, Reliability and Security, 2019

2018

Enabling Trust in Deep Learning Models: A Digital Forensics Case Study.

Aditya K, Slawomir Grzonkowski, Nhien An LeKhac

Proceedings of the 17th IEEE International Conference On Trust, 2018