NPerseus DTU
Ms. Anukriti Kaushal
Assistant Professor
Computer Science & Engineering, DTU
Research profile
At a glance
Researches manipulated-image detection, deepfake generation and detection, and digital image integrity. M.Tech (DTU) and a Ph.D. in progress at DTU on intelligent image-forensics strategies.
Full biography
Anukriti Kaushal is an Assistant Professor in the Department of Computer Science and Engineering at Delhi Technological University (DTU), a role her current DTU profile dates from 2020. She is pursuing a Ph.D. at DTU on manipulated-image detection using deep learning, including GAN-based deepfakes and highly compressed images; her M.Tech. thesis addressed symmetric-key encryption based on DNA cryptography. Her research spans digital image forensics, deepfake generation and detection, image manipulation detection and localization, computer vision, machine learning, large language models, and digital security and privacy. Her publisher-verified work includes journal articles in Multimedia Tools and Applications, Earth Science Informatics, and Applied Sciences and conference papers on image forensics, deepfakes, language models, and neural-network security. Google Scholar listed 130 citations, an h-index of 5, and an i10-index of 4 when checked on 5 September 2026; these bibliometrics change over time. She teaches programming, data structures, computer networks, distributed systems, machine learning and compiler design and supervises M.Tech. research. DTU also lists her as Deputy Coordinator (IPR-TT), Co-In-Charge of the DBMS Lab, a CSE ISO team member, and an ISO 9001:2015 auditor.
Latest research
Cross-Domain Feature Fusion with Dense Convolution and Transformer Attention for Image Manipulation Chain Detection
Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar
Detecting Backdoored Models using Gradient Entropy Analysis of Adversarial Inputs
Ishan Panwar, Anukriti Kaushal, Abhishek Jain, Rajeev Kumar, Altaf Husain, Jitendra Singh
Revolutionizing hyperspectral image classification for limited labeled data: unifying autoencoder-enhanced GANs with convolutional neural networks and zero-shot learning
Pallavi Ranjan, Anukriti Kaushal, Ashish Girdhar, Rajeev Kumar
Research activity
Background
- Ph.D. (Pursuing), Computer Science & Engineering, Delhi Technological University — research on manipulated image detection using deep learning
- M.Tech., Computer Science & Engineering, Delhi Technological University (thesis: Symmetric Key Encryption Based on DNA Cryptography)
Research output
18 reviewed records · newest dated work first
10 of 18 matching records
Cross-Domain Feature Fusion with Dense Convolution and Transformer Attention for Image Manipulation Chain Detection
Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar
2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 614–618
doi:10.1109/ICSCCC69031.2026.11600307Detecting Backdoored Models using Gradient Entropy Analysis of Adversarial Inputs
Ishan Panwar, Anukriti Kaushal, Abhishek Jain, Rajeev Kumar, Altaf Husain, Jitendra Singh
2026 Fourth International Conference on Secure Cyber Computing and Communications (ICSCCC), pp. 1007–1012
doi:10.1109/ICSCCC69031.2026.11600379Revolutionizing hyperspectral image classification for limited labeled data: unifying autoencoder-enhanced GANs with convolutional neural networks and zero-shot learning
Pallavi Ranjan, Anukriti Kaushal, Ashish Girdhar, Rajeev Kumar
Earth Science Informatics, vol. 18(2), article 216
doi:10.1007/s12145-025-01739-7SobelMNet: A Lightweight CNN based Approach for Median Filtering Detection in compressed images
Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar
2025 27th International Conference on Advanced Communications Technology (ICACT), pp. 244–248
doi:10.23919/ICACT63878.2025.10936716Hyperparameter Tuning for Domain-Specific Text Generation: A Case Study with FLAN-T5
Anukriti Kaushal, Rishabh Chauhan
2025 3rd International Conference on Inventive Computing and Informatics (ICICI), pp. 1–6
doi:10.1109/ICICI65870.2025.11069492PRILNet: A Hierarchical Attention-Driven CNN with Global Texture for Image Manipulation Detection
Anukriti Kaushal, Rajeev Kumar, Sanjay Kumar, Minoru Kuribayashi
2025 Second International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT), pp. 196–201
doi:10.1109/IC2SDT68218.2025.11383681MRVNet: A 3D Residual Fusion Network for Robust Image Forgery Detection
Anukriti Kaushal, Ananay Gupta
2025 3rd World Conference on Communication & Computing (WCONF), pp. 1–6
doi:10.1109/WCONF64849.2025.11233782Study on Deepfake Detection Techniques: Challenges, Limitations and Future Directions
Anukriti Kaushal, Yogesh Parihar, Vatan Tomar, Uttam Kumar Yadav
2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI), pp. 40–48
doi:10.1109/ICDICI66477.2025.11135143FALCON: Frequency-Aware Lightweight Convolutional Optimized Network
Himanshu Maan, Hemang Hooda, Harshit Verma, Anukriti Kaushal
2025 3rd International Conference on Inventive Computing and Informatics (ICICI), pp. 1019–1026
doi:10.1109/ICICI65870.2025.11069816Operator Chain Detection in Image Forensics Using a Two-Stream CNN
Dhruv Katyal, Harshit Naagar, Kangan Gupta, Anukriti Kaushal
2025 3rd International Conference on Inventive Computing and Informatics (ICICI), pp. 973–979
doi:10.1109/ICICI65870.2025.11069789A review on deepfake generation and detection: bibliometric analysis
Anukriti Kaushal, Sanjay Kumar, Rajeev Kumar
Multimedia Tools and Applications, vol. 83(40), pp. 87579–87619
doi:10.1007/s11042-024-18706-xCharting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements
Anukriti Kaushal, Chia-Chen Lin, Rishabh Chauhan, Rajeev Kumar
Applied Sciences, vol. 14(23), article 11462
doi:10.3390/app142311462Deep Learning Strategies for Effective Image Forgery Detection and Localization
Nandini Kashyap, Prince Yadav, Nikita, Anukriti Kaushal
2024 International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3), pp. 1–5
doi:10.1109/IC2E362166.2024.10827254The Societal Impact of Deepfakes: Advances in Detection and Mitigation
Anukriti Kaushal, Aman Mina, Abhishek Meena, Talari Harinath Babu
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1–7
doi:10.1109/ICCCNT56998.2023.10307353Devanagari Character Recognition Using MLP-Mixer and CNN Extracted Features
Abhay Gupta, Abhishek Sharma, Abhishek Jha, Anukriti Kaushal
2023 IEEE World Conference on Applied Intelligence and Computing (AIC), pp. 620–627
doi:10.1109/AIC57670.2023.10263816Face Manipulation Detection in Images using Inception Layers and Graph Convolutional Networks
Aman Mahendroo, Aaradhya Beri, Anukriti Kaushal
2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), pp. 276–281
doi:10.1109/ICIDCA56705.2023.10099546A Comparative Study on Deepfake Detection Algorithms
Anukriti Kaushal, Sanchit Singh, Shashank Negi, Shikhar Chhaukar
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 854–860
doi:10.1109/ICAC3N56670.2022.10074593Predictive Analytics of Stock Market as a Time Series
Arth Singh, Anmol Bansal, Anoop Nair V, Anukriti Kaushal
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 770–777
doi:10.1109/ICAC3N56670.2022.10074155Profile index metrics were checked 2026-09-05; research output is ordered by publication year, not citation count.
Projects
Source-listed projects. Dates and roles are preserved from the reviewed record; inclusion does not imply a project is currently active.
No reviewed project record is available for this profile yet.
Explore lab projects ↗Patents & applications
2 granted · 0 applications. An application is not a granted patent.
Hearing Aid System and Method for Context-Aware Alarm Detection and Personalized Biometric Feedback
Anukriti Kaushal, Sonal Gandhi, Anurag Goel, Rajeev Kumar
- Application
- 202411103051
- Patent
- IN 578276
- Grant date
- 2026-01-15
Adaptive Audio Output System and Method Thereof
Anurag Goel, Anukriti Kaushal, Meenakshi Diwan, Pallavi Ranjan, Rajeev Kumar
- Application
- 202511004867
- Patent
- IN 584506
- Grant date
- 2026-03-23
Experience & education
Appointments & positions
- Assistant Professor, Department of Computer Science & Engineering, Delhi Technological University (2020–present)
- Deputy Coordinator (IPR-TT), Corporate Relations Office, DTU (official-profile-listed role; dates not stated)
- Co-In-Charge, DBMS Lab, CSE Department, DTU (also listed as an officer in charge in the CSE laboratories document)
Education
- Ph.D. (Pursuing), Computer Science & Engineering, Delhi Technological University — research on manipulated image detection using deep learning
- M.Tech., Computer Science & Engineering, Delhi Technological University (thesis: Symmetric Key Encryption Based on DNA Cryptography)
- B.Tech., Computer Science & Engineering, University of Delhi (Atma Ram Sanatan Dharma College)
Awards & honours
No reviewed award record listed yet.
Additional profile highlights
- Image forensics
- Deepfake detection
- Ph.D. in progress at DTU
Professional service
Editorial, reviewing and professional roles recorded in the profile sources.
Certified ISO 9001:2015 Auditor (Quality Management Systems)
ISO Team Member, CSE Department, DTU (2023–24, 2024–25)
Mid-Semester Examination Committee Member, CSE Department (2023–24, 2024–25, 2025–26)
Registration-cum-Orientation Committee Member for the B.Tech. Induction Programme (2023–24, 2024–25, 2025–26)
Courses taught: Programming (C/C++), Data Structures, Computer Networks, Distributed Systems, Machine Learning and Compiler Design; the DTU profile archive also lists Deep Learning
M.Tech. research supervision listed by DTU: Manish Kumar, Arpit Mahlawant, Rishabh Chauhan, Abhishek Maurya, Sakshi Shakya and Aditya Sharma (student identifiers omitted)
Delivered a two-day faculty-development programme on cloud computing, machine learning, MATLAB, reinforcement learning and research methodology at MMH College, Ghaziabad (22–23 September 2023)
Sources & provenance
Profile sources reviewed 2026-09-05. Scholarly metrics are dated snapshots.
Publication categories describe the work type, not its quality. Listed projects are not necessarily active. Missing public records are not a measure of contribution.
Public machine-readable catalogue ↗