- Applied Machine/Deep learning
- Cybersecurity
- Adversarial attacks on ML models
Experience top of the world living and learning at SRM University-AP
+91-863-2343000
080-6988-6999 (admissions)
Email: admissions@srmap.edu.in
SRM University-AP, Neerukonda,
Mangalagiri Mandal, Guntur District, Andhra Pradesh - 522240
- 10 months -Trainee engineer – Honeywell Technology Solutins Lab.
- 1 year – Electrical Engineer - Growell Associates (Mecon)
- 1 year 6 months – Assistant Professor – Canara Engineering College Bantwal, Karnataka
- 4 years 6 months -Assistant Professor – Kammavari sangha Institute Of Technology, Bengaluru, Karnataka
- 5 years – Junior/Senior Research Associate – Bits pilani Hyderabad Campus
- Applied ML techniques for detecting Adversarial attacks on ML models.
- Using deep learning models (transformer models) in the area of cybersecurity, specifically detecting/preventing attacks on critical computing resources.
- 2020- Research Internship - IIT Guwahati
- 2023 – Senior Research Associate - BITS Pilani Hyd Campus.
- 2025 – Full travel grant – Qualcomm
Publications
- Chillara, Anil Kumar, et al. "Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards - Chillara, Anil Kumar, Paresh Saxena, Rajib Ranjan Maiti, Manik Gupta, Raghu Kondapalli, Zhichao Zhang, and Krishnakumar Kesavan, International Journal of Information Security (23.3), 2043-2061 (2024)
- USB-GATE: USB-based GAN-augmented transformer reinforced defense framework for adversarial keystroke injection attacks - Chillara, Anil Kumar, Paresh Saxena, and Rajib Ranjan Maiti - International Journal of Information Security (24), no.2, 79, (2025)
- Transformer-based GAN-augmented Defender for Adversarial USB Keystroke Injection Attacks - Anil Kumar Chillara, Paresh Saxena, Rajib Ranjan Maiti, - In Proceedings of the 26th International Conference on Distributed Computing and Networking (ICDCN), ACM, 94–103 (2025)
- E-mail id: anilkumar.c@srmap.edu.in