The people behind the lab.

Ajit Kumar Yadav is a full-time Ph.D. candidate in Computer Science and Engineering at Delhi Technological University. DTU records his 2024–2026 M.Tech (Research) thesis as “Development of High-Capacity Reversible Data Hiding Methods for Encrypted Images.” His 2026 research output includes two IEEE ICSCCC papers on reversible data hiding in encrypted images and the IEEE ISDFS paper ShortcutProbe on backdoor-sample detection. He is also a co-inventor on two granted Indian patents covering secure electric-vehicle charging and prioritized data delivery.

Ph.D. scholar in Computer Science and Engineering at DTU, where he studies deep-neural-network security against model theft and backdoor attacks. He completed a B.Tech in Information Technology at Swarnandhra College of Engineering & Technology, affiliated with Jawaharlal Nehru Technological University Kakinada (2018–2022). His work includes neural-network watermarking, computer vision and web application development.

Full-time Ph.D. candidate in Computer Science and Engineering at Delhi Technological University. Her doctoral research examines robust models for social-media image forensics under Rajeev Kumar, with Anurag Goel as co-supervisor. She is a co-inventor on granted Indian Patent IN 584506 for an adaptive audio output system.

Ph.D. Research Scholar and Teaching Assistant in CSE at DTU under Dr. Rajeev Kumar, focusing on AI & security, steganography, machine and deep learning, and LLMs (RAG). MCA graduate from NIET Greater Noida, with a Java / Spring Boot backend development background.

Full-time Ph.D. candidate in Computer Science and Engineering at Delhi Technological University researching the design and development of enabling technologies for trustworthy artificial intelligence, supervised by Rajeev Kumar with Ankur of NIT Delhi as co-supervisor. His public work includes a survey on reversible adversarial perturbations and a granted Indian patent for detecting VPN usage in communication networks.

Ph.D. scholar in Computer Science and Engineering at DTU. His M.Tech by Research work at DTU focused on hyperspectral image denoising. His research spans hyperspectral-image restoration and classification, explainable AI, and defenses against data-poisoning attacks. He also has prior software and frontend development experience.

M.Tech (Cyber Security) student (2025–2027 expected) in Delhi Technological University's Department of Computer Science and Engineering, with verified coursework spanning network and application security, digital forensics, cloud and IoT security, AI and machine learning, and security audit. He previously studied B.Tech Computer Science and Engineering at HMR Institute of Technology & Management (GGSIPU). His research focus on federated learning is member-submitted.

M.Tech student in Cybersecurity at Delhi Technological University, researching defenses against backdoored AI models. He previously completed a B.E. in Electronics and Computer Engineering at Thapar Institute of Engineering and Technology and has worked on security and cloud scanning at iTRUSTXForce and as a trainee at Bharat Electronics. He coauthored a 2026 ICSCCC conference paper on detecting backdoored models through gradient-entropy analysis and is a co-inventor on a published Indian patent application concerning adaptive routing for underwater software-defined networks.

M.Tech student in Computer Science and Engineering at Delhi Technological University working across adversarial machine learning, backdoor and data-poisoning defense, robust network-intrusion detection and Android malware analysis. His public record includes four IEEE conference papers and a published Indian patent application for identifying and correcting poisoned training samples in deep neural networks.

M.Tech student in Artificial Intelligence at DTU (2025–2027 expected) with a B.Tech in Computer Science and Engineering from Swami Keshvanand Institute of Technology, Jaipur (2021–2025). Her projects explore retrieval-augmented generation, language-model evaluation and code-repair agents, alongside machine learning and operational decision-support prototypes.

Ayush Kumar is a B.Tech Computer Science and Engineering student researcher at Delhi Technological University focused on Android security, vulnerability research and secure software systems. He built the lab research platform now developed as NPerseus and maintains an open-source Android application for privacy-conscious VPN-detection data collection. His public software work also includes PDF translation, code-to-wiki documentation, developer tooling and web-application prototypes. He is a co-inventor on three granted Indian patents spanning context-aware access control, secure EV charging and adaptive game simulation.

B.Tech student in Computer Science and Engineering at DTU (2023–present) conducting research on backdoor attacks and detection in data-distillation pipelines. He studies poisoned-sample detection through feature-space analysis, layer-wise representation consistency, Mahalanobis distance and feature-similarity measures. His project work includes face anti-spoofing and a QuickDraw web game integrating deep-learning models.