461 citations · 589 across the 19 of their papers we have counts for
20 papers
Addendum: Systematic Evaluation of Randomized Cache Designs against Cache Occupancy
Anirban Chakraborty, Nimish Mishra, Sayandeep Saha +2
In the main text published at USENIX Security 2025, we presented a systematic analysis of the role of cache occupancy in the design considerations for randomized caches (from the p…
Quantum Public Key Encryption for NISQ Devices
Nishant Rodrigues, Walter O. Krawec, Brad Lackey +2
Quantum public-key encryption (PKE), where public-keys and/or ciphertexts can be quantum states, is an important primitive in quantum cryptography. Unlike classical PKE (e.g., RSA…
Carry Your Fault: A Fault Propagation Attack on Side-Channel Protected LWE-based KEM
Suparna Kundu, Siddhartha Chowdhury, Sayandeep Saha +3
Post-quantum cryptographic (PQC) algorithms, especially those based on the learning with errors (LWE) problem, have been subjected to several physical attacks in the recent past. A…
Systematic Evaluation of Randomized Cache Designs against Cache Occupancy
Anirban Chakraborty, Nimish Mishra, Sayandeep Saha +2
Randomizing the address-to-set mapping and partitioning of the cache has been shown to be an effective mechanism in designing secured caches. Several designs have been proposed on…
A short note on the paper `Are Randomized Caches Really Random?'
Anirban Chakraborty, Sarani Bhattacharya, Sayandeep Saha +1
In this paper, we analyse the results and claims presented in the paper \emph{`Are Randomized Caches Truly Random? Formal Analysis of Randomized Partitioned Caches'}, presented at…
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries
Manaar Alam, Shubhajit Datta, Debdeep Mukhopadhyay +2
The security of deep learning (DL) systems is an extremely important field of study as they are being deployed in several applications due to their ever-improving performance to so…
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Shubhi Shukla, Manaar Alam, Sarani Bhattacharya +2
Recent Deep Learning (DL) advancements in solving complex real-world tasks have led to its widespread adoption in practical applications. However, this opportunity comes with signi…
Deep-Lock: Secure Authorization for Deep Neural Networks
Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay +1
Trained Deep Neural Network (DNN) models are considered valuable Intellectual Properties (IP) in several business models. Prevention of IP theft and unauthorized usage of such DNN…
Skip to Secure: Securing Cyber-physical Control Loops with Intentionally Skipped Executions
Sunandan Adhikary, Ipsita Koley, Sumana Ghosh +3
We consider the problem of provably securing a given control loop implementation in the presence of adversarial interventions on data exchange between plant and controller. Such in…
RAPPER: Ransomware Prevention via Performance Counters
Manaar Alam, Sayan Sinha, Sarani Bhattacharya +3
Ransomware can produce direct and controllable economic loss, which makes it one of the most prominent threats in cyber security. As per the latest statistics, more than half of ma…
Formal Synthesis of Monitoring and Detection Systems for Secure CPS Implementations
Ipsita Koley, Saurav Kumar Ghosh, Soumyajit Dey +6
We consider the problem of securing a given control loop implementation of a cyber-physical system (CPS) in the presence of Man-in-the-Middle attacks on data exchange between plant…
Towards Secure Composition of Integrated Circuits and Electronic Systems: On the Role of EDA
Johann Knechtel, Elif Bilge Kavun, Francesco Regazzoni +10
Modern electronic systems become evermore complex, yet remain modular, with integrated circuits (ICs) acting as versatile hardware components at their heart. Electronic design auto…
ExplFrame: Exploiting Page Frame Cache for Fault Analysis of Block Ciphers
Anirban Chakraborty, Sarani Bhattacharya, Sayandeep Saha +1
Page Frame Cache (PFC) is a purely software cache, present in modern Linux based operating systems (OS), which stores the page frames that are recently being released by the proces…
Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications
Manaar Alam, Arnab Bag, Debapriya Basu Roy +4
Neural Networks (NN) have recently emerged as backbone of several sensitive applications like automobile, medical image, security, etc. NNs inherently offer Partial Fault Tolerance…
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance
Nimesh Shah, Manaar Alam, Durga Prasad Sahoo +2
Physically Unclonable Function (PUF) circuits are finding widespread use due to increasing adoption of IoT devices. However, the existing strong PUFs such as Arbiter PUFs (APUF) an…
How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?
Manaar Alam, Debdeep Mukhopadhyay
Deep Learning algorithms have recently become the de-facto paradigm for various prediction problems, which include many privacy-preserving applications like online medical image an…
Testability Analysis of PUFs Leveraging Correlation-Spectra in Boolean Functions
Durba Chatterjee, Aritra Hazra, Debdeep Mukhopadhyay
Testability of digital ICs rely on the principle of controllability and observability. Adopting conventional techniques like scan-chains open up avenues for attacks, and hence cann…
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty, Manaar Alam, Vishal Dey +2
Deep learning has emerged as a strong and efficient framework that can be applied to a broad spectrum of complex learning problems which were difficult to solve using the tradition…
Cryptographically Secure Multi-Tenant Provisioning of FPGAs
Arnab Bag, Sikhar Patranabis, Debapriya Basu Roy +1
FPGAs (Field Programmable Gate arrays) have gained massive popularity today as accelerators for a variety of workloads, including big data analytics, and parallel and distributed c…
RAPPER: Ransomware Prevention via Performance Counters
Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay +1
Ransomware can produce direct and controllable economic loss, which makes it one of the most prominent threats in cyber security. As per the latest statistics, more than half of ma…