Manaar Alam | DeepAI

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Featured Co-authors

Anirban Chakraborty
37 publications
Arindam Basu
28 publications
Pabitra Mitra
21 publications
Michail Maniatakos
20 publications
Debdeep Mukhopadhyay
18 publications
Anupam Chattopadhyay
18 publications
Talal Rahwan
13 publications
Yasir Zaki
10 publications
Partha Pratim Chakrabarti
8 publications
Esha Sarkar
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Shivam Bhasin
7 publications

∙ 05/26/2023

HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis

As the use of Large Language Models (LLMs) in text generation tasks prol...

0 Christoforos Vasilatos, et al. ∙

∙ 04/20/2023

Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning

Federated Learning (FL) enables collaborative deep learning training acr...

0 Manaar Alam, et al. ∙

∙ 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...

29 Manaar Alam, et al. ∙

∙ 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...

0 Shubhi Shukla, et al. ∙

∙ 05/26/2022

PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations

Federated Learning (FL) enables numerous participants to train deep lear...

0 Manaar Alam, et al. ∙

∙ 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...

1 Manaar Alam, et al. ∙

∙ 08/13/2020

Deep-Lock: Secure Authorization for Deep Neural Networks

Trained Deep Neural Network (DNN) models are considered valuable Intelle...

0 Manaar Alam, et al. ∙

∙ 02/05/2019

Enhancing Fault Tolerance of Neural Networks for Security-Critical Applications

Neural Networks (NN) have recently emerged as backbone of several sensit...

0 Manaar Alam, et al. ∙

∙ 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...

0 Nimesh Shah, et al. ∙

∙ 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 ...

0 Manaar Alam, et al. ∙

∙ 09/28/2018

Adversarial Attacks and Defences: A Survey

Deep learning has emerged as a strong and efficient framework that can b...

0 Anirban Chakraborty, et al. ∙

∙ 02/12/2018

RAPPER: Ransomware Prevention via Performance Counters

Ransomware can produce direct and controllable economic loss, which make...

0 Manaar Alam, et al. ∙

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