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Aditya Kuppa
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2020 – today
- 2024
- [j4]Jack Nicholls
, Aditya Kuppa, Nhien-An Le-Khac:
The next phase of identifying illicit activity in Bitcoin. Int. J. Netw. Manag. 34(5) (2024) - [c14]Aditya Kuppa, Jack Nicholls, Nhien-An Le-Khac:
Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers. SECRYPT 2024: 777-785 - 2023
- [c13]Jack Nicholls
FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification. ACSAC 2023: 324-336 - [c12]Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac
SoK: The Next Phase of Identifying Illicit Activity in Bitcoin. ICBC 2023: 1-10 - [c11]Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, K. Aditya, 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:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 2023 - [i4]Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac:
Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework. CoRR abs/2310.13787 (2023) - 2022
- [i3]Aditya Kuppa, Nhien-An Le-Khac:
Learn to Adapt: Robust Drift Detection in Security Domain. CoRR abs/2206.07581 (2022) - 2021
- [j3]Jack Nicholls
Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape. IEEE Access 9: 163965-163986 (2021) - [j2]Aditya Kuppa
Adversarial XAI Methods in Cybersecurity. IEEE Trans. Inf. Forensics Secur. 16: 4924-4938 (2021) - [c10]Aditya Kuppa, Lamine M. Aouad, Nhien-An Le-Khac
Linking CVE's to MITRE ATT&CK Techniques. ARES 2021: 21:1-21:12 - [c9]Aditya Kuppa, Lamine M. Aouad, Nhien-An Le-Khac
Towards Improving Privacy of Synthetic DataSets. APF 2021: 106-119 - [c8]C. S. Arvind, Aditi Totla, Tanisha Jain, Nandini Sinha, R. Jyothi, K. Aditya, Keerthan, Mohammed Farhan, G. Sumukh, Guruprasad Ak:
Deep Learning Based Plant Disease Classification With Explainable AI and Mitigation Recommendation. SSCI 2021: 1-8 - 2020
- [c7]Aditya Kuppa, Lamine M. Aouad, Nhien-An Le-Khac
Effect of Security Controls on Patching Window: A Causal Inference based Approach. ACSAC 2020: 556-566 - [c6]Aditya Kuppa, Nhien-An Le-Khac
Black Box Attacks on Explainable Artificial Intelligence(XAI) methods in Cyber Security. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c5]Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar
Black Box Attacks on Deep Anomaly Detectors. ARES 2019: 21:1-21:10 - [c4]Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection. TrustCom/BigDataSE 2019: 442-449 - [i2]Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar, Nhien-An Le-Khac:
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection. CoRR abs/1905.07273 (2019) - 2018
- [c3]K. Aditya, Slawomir Grzonkowski, Nhien-An Le-Khac
RiskWriter: Predicting Cyber Risk of an Enterprise. ICISS 2018: 88-106 - [c2]K. Aditya, Slawomir Grzonkowski, Nhien An LeKhac
Enabling Trust in Deep Learning Models: A Digital Forensics Case Study. TrustCom/BigDataSE 2018: 1250-1255 - [i1]K. Aditya, Slawomir Grzonkowski, Nhien An LeKhac:
Enabling Trust in Deep Learning Models: A Digital Forensics Case Study. CoRR abs/1808.01196 (2018) - 2011
- [j1]K. Aditya, Ganesha Udupa
Development of Bio-Machine Based on the Plant Response to External Stimuli. J. Robotics 2011: 124314:1-124314:7 (2011) - [c1]K. Aditya, Yuli Chen, Eun-Hye Kim
Development of Bio-machine based on the plant response to external stimuli. ROBIO 2011: 1218-1223
Coauthor Index
aka: Nhien An LeKhac
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