Esha Sarkar

According to our database, Esha Sarkar authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

TRAPDOOR: Repurposing neural network backdoors to detect dataset bias in machine learning-based genomic analysis.

Esha Sarkar, Constantine Doumanidis, Michail Maniatakos

Proceedings of the 31st IFIP/IEEE International Conference on Very Large Scale Integration, 2023

PerDoor: Persistent Backdoors in Federated Learning using Adversarial Perturbations.

Manaar Alam, Esha Sarkar, Michail Maniatakos

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

2022

FaceHack: Attacking Facial Recognition Systems Using Malicious Facial Characteristics.

Esha Sarkar, Hadjer Benkraouda, Gopika Krishnan, Homer Gamil, Michail Maniatakos

IEEE Trans. Biom. Behav. Identity Sci., 2022

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

Manaar Alam, Esha Sarkar, Michail Maniatakos

CoRR, 2022

Scalable privacy-preserving cancer type prediction with homomorphic encryption.

Esha Sarkar, Eduardo Chielle, Gamze Gürsoy, Leo Chen, Mark Gerstein, Michail Maniatakos

CoRR, 2022

PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks.

Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari

CoRR, 2022

2021

Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-Based Traffic Congestion Control Systems.

Yue Wang, Esha Sarkar, Wenqing Li, Michail Maniatakos, Saif Eddin Jabari

IEEE Trans. Inf. Forensics Secur., 2021

TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis.

Esha Sarkar, Michail Maniatakos

CoRR, 2021

Explainability Matters: Backdoor Attacks on Medical Imaging.

Munachiso Nwadike, Takumi Miyawaki, Esha Sarkar, Michail Maniatakos, Farah Shamout

CoRR, 2021

Fast and Scalable Private Genotype Imputation Using Machine Learning and Partially Homomorphic Encryption.

Esha Sarkar, Eduardo Chielle, Gamze Gürsoy, Oleg Mazonka, Mark Gerstein, Michail Maniatakos

IEEE Access, 2021

Remote Non-Intrusive Malware Detection for PLCs based on Chain of Trust Rooted in Hardware.

Prashant Hari Narayan Rajput, Esha Sarkar, Dimitrios Tychalas, Michail Maniatakos

Proceedings of the IEEE European Symposium on Security and Privacy, 2021

2020

Backdoor Suppression in Neural Networks using Input Fuzzing and Majority Voting.

Esha Sarkar, Yousif Alkindi, Michail Maniatakos

IEEE Des. Test, 2020

FaceHack: Triggering backdoored facial recognition systems using facial characteristics.

Esha Sarkar, Hadjer Benkraouda, Michail Maniatakos

CoRR, 2020

Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems.

Yue Wang, Esha Sarkar, Michail Maniatakos, Saif Eddin Jabari

CoRR, 2020

Practical Data-in-Use Protection Using Binary Decision Diagrams.

Oleg Mazonka, Esha Sarkar, Eduardo Chielle, Nektarios Georgios Tsoutsos, Michail Maniatakos

IEEE Access, 2020

I came, I saw, I hacked: Automated Generation of Process-independent Attacks for Industrial Control Systems.

Esha Sarkar, Hadjer Benkraouda, Michail Maniatakos

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019

On automating delayered IC analysis for hardware IP protection.

Esha Sarkar, Michail Maniatakos

Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019

2017

Security and Privacy in Cyber-Physical Systems: A Survey of Surveys.

Jairo Giraldo, Esha Sarkar, Alvaro A. Cárdenas, Michail Maniatakos, Murat Kantarcioglu

IEEE Des. Test, 2017