A Hardware Trojan Attack on FPGA-Based Cryptographic Key Generation: Impact and Detection. - Vidya Govindan; Rajat Subhra Chakraborty; Pranesh Santikellur; Aditya Kumar Chaudhary (J. Hardw. Syst. Secur., 2018)

Design of a Chaotic Oscillator based Model Building Attack Resistant Arbiter PUF. - Venkata Sreekanth Balijabudda; Dhruv Thapar; Pranesh Santikellur; Rajat Subhra Chakraborty; Indrajit Chakrabarti (AsianHOST, 2019)

A Computationally Efficient Tensor Regression Network based Modeling Attack on XOR APUF. - Pranesh Santikellur; Lakshya; Shashi Ranjan Prakash; Rajat Subhra Chakraborty (AsianHOST, 2019)

United We Stand: A Threshold Signature Scheme for Identifying Outliers in PLCs. - Urbi Chatterjee; Pranesh Santikellur; Rajat Sadhukhan; Vidya Govindan; Debdeep Mukhopadhyay; Rajat Subhra Chakraborty (DAC, 2019)

Deep Learning based Model Building Attacks on Arbiter PUF Compositions. - Pranesh Santikellur; Aritra Bhattacharyay; Rajat Subhra Chakraborty (IACR Cryptol. ePrint Arch., 2019)

APUF-BNN: An Automated Framework for Efficient Combinational Logic Based Implementation of Arbiter PUF through Binarized Neural Network. - Pranesh Santikellur; Rijoy Mukherjee; Rajat Subhra Chakraborty (ACM Great Lakes Symposium on VLSI, 2021)

A Computationally Efficient Tensor Regression Network-Based Modeling Attack on XOR Arbiter PUF and Its Variants. - Pranesh Santikellur; Rajat Subhra Chakraborty (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

A Conditionally Chaotic Physically Unclonable Function Design Framework with High Reliability. - Saranyu Chattopadhyay; Pranesh Santikellur; Rajat Subhra Chakraborty; Jimson Mathew; Marco Ottavi (ACM Trans. Design Autom. Electr. Syst., 2021)

Hardware IP Protection Using Register Transfer Level Locking and Obfuscation of Control and Data Flow. - Pranesh Santikellur; Rajat Subhra Chakraborty; Swarup Bhunia (Behavioral Synthesis for Hardware Security, 2022)

Correlation Integral-Based Intrinsic Dimension: A Deep-Learning-Assisted Empirical Metric to Estimate the Robustness of Physically Unclonable Functions to Modeling Attacks. - Pranesh Santikellur; Rajat Subhra Chakraborty (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Deep Learning for Computational Problems in Hardware Security - Modeling Attacks on Strong Physically Unclonable Function Circuits - Pranesh Santikellur; Rajat Subhra Chakraborty (Springer, 2023)