Development of Bio-machine based on the plant response to external stimuli. - K. Aditya; Yuli Chen; Eun-Hye Kim; Ganesha Udupa; Yongkwun Lee (ROBIO, 2011)

Development of Bio-Machine Based on the Plant Response to External Stimuli. - K. Aditya; Ganesha Udupa; Yongkwun Lee (J. Robotics, 2011)

RiskWriter: Predicting Cyber Risk of an Enterprise. - K. Aditya; Slawomir Grzonkowski; Nhien-An Le-Khac (ICISS, 2018)

Enabling Trust in Deep Learning Models: A Digital Forensics Case Study. - K. Aditya; Slawomir Grzonkowski; Nhien An LeKhac (TrustCom/BigDataSE, 2018)

Black Box Attacks on Deep Anomaly Detectors. - Aditya Kuppa; Slawomir Grzonkowski; Muhammad Rizwan Asghar; Nhien-An Le-Khac (ARES, 2019)

Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection. - Aditya Kuppa; Slawomir Grzonkowski; Muhammad Rizwan Asghar; Nhien-An Le-Khac (TrustCom/BigDataSE, 2019)

Effect of Security Controls on Patching Window: A Causal Inference based Approach. - Aditya Kuppa; Lamine M. Aouad; Nhien-An Le-Khac (ACSAC, 2020)

Black Box Attacks on Explainable Artificial Intelligence(XAI) methods in Cyber Security. - Aditya Kuppa; Nhien-An Le-Khac (IJCNN, 2020)

Linking CVE's to MITRE ATT&CK Techniques. - Aditya Kuppa; Lamine M. Aouad; Nhien-An Le-Khac (ARES, 2021)

Towards Improving Privacy of Synthetic DataSets. - Aditya Kuppa; Lamine M. Aouad; Nhien-An Le-Khac (APF, 2021)

Deep Learning Based Plant Disease Classification With Explainable AI and Mitigation Recommendation. - C. S. Arvind; Aditi Totla; Tanisha Jain; Nandini Sinha; R. Jyothi; K. Aditya; Keerthan; Mohammed Farhan; G. Sumukh; Guruprasad Ak (SSCI, 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)

Adversarial XAI Methods in Cybersecurity. - Aditya Kuppa; Nhien-An Le-Khac (IEEE Trans. Inf. Forensics Secur., 2021)

Learn to Adapt: Robust Drift Detection in Security Domain. - Aditya Kuppa; Nhien-An Le-Khac (CoRR, 2022)

FraudLens: Graph Structural Learning for Bitcoin Illicit Activity Identification. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (ACSAC, 2023)

SoK: The Next Phase of Identifying Illicit Activity in Bitcoin. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (ICBC, 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; K. Aditya; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (NeurIPS, 2023)

Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (CoRR, 2023)

Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers. - Aditya Kuppa; Jack Nicholls; Nhien-An Le-Khac (SECRYPT, 2024)

The next phase of identifying illicit activity in Bitcoin. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (Int. J. Netw. Manag., 2024)

Large Language Model XAI approach for illicit activity Investigation in Bitcoin. - Jack Nicholls; Aditya Kuppa; Nhien-An Le-Khac (Neural Comput. Appl., 2025)