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04/03/2023
A short note on the paper `Are Randomized Caches Really Random?'
In this paper, we analyse the results and claims presented in the paper ...
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08/18/2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries
The security of deep learning (DL) systems is an extremely important fie...
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08/01/2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Recent Deep Learning (DL) advancements in solving complex real-world tas...
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12/09/2021
PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function
The security of Deep Learning classifiers is a critical field of study b...
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08/13/2020
Deep-Lock: Secure Authorization for Deep Neural Networks
Trained Deep Neural Network (DNN) models are considered valuable Intelle...
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07/16/2020
Skip to Secure: Securing Cyber-physical Control Loops with Intentionally Skipped Executions
We consider the problem of provably securing a given control loop implem...
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02/27/2020
Formal Synthesis of Monitoring and Detection Systems for Secure CPS Implementations
We consider the problem of securing a given control loop implementation ...
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01/27/2020
Towards Secure Composition of Integrated Circuits and Electronic Systems: On the Role of EDA
Modern electronic systems become evermore complex, yet remain modular, w...
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05/30/2019
ExplFrame: Exploiting Page Frame Cache for Fault Analysis of Block Ciphers
Page Frame Cache (PFC) is a purely software cache, present in modern Lin...
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05/30/2019
FRAMER: Using page frame cache to exploit DRAM Vulnerability
Modern operating systems use a number of different techniques and mechan...
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05/30/2019
Using Memory Allocation Schemes in Linux to Exploit DRAM Vulnerability: with Rowhammer as a Case Study
Modern operating systems use a number of different techniques and mechan...
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02/05/2019
Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications
Neural Networks (NN) have recently emerged as backbone of several sensit...
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12/13/2018
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance
Physically Unclonable Function (PUF) circuits are finding widespread use...
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11/13/2018
How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?
Deep Learning algorithms have recently become the de-facto paradigm for ...
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10/20/2018
Testability Analysis of PUFs Leveraging Correlation-Spectra in Boolean Functions
Testability of digital ICs rely on the principle of controllability and ...
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09/28/2018
Adversarial Attacks and Defences: A Survey
Deep learning has emerged as a strong and efficient framework that can b...
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02/12/2018
Cryptographically Secure Multi-Tenant Provisioning of FPGAs
FPGAs (Field Programmable Gate arrays) have gained massive popularity to...
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02/12/2018
