Esha Sarkar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Attack Detection

Top Venues

Publications

Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari
A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. IEEE Trans. Artif. Intell. 5 (7) (2024)
Esha Sarkar, Constantine Doumanidis, Michail Maniatakos
TRAPDOOR: Repurposing neural network backdoors to detect dataset bias in machine learning-based genomic analysis. VLSI-SoC (2023)
Manaar Alam, Esha Sarkar, Michail Maniatakos
PerDoor: Persistent Backdoors in Federated Learning using Adversarial Perturbations. COINS (2023)
Esha Sarkar, Eduardo Chielle, Gamze Gürsoy, Leo Chen, Mark Gerstein, Michail Maniatakos
Scalable privacy-preserving cancer type prediction with homomorphic encryption. CoRR (2022)
Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. CoRR (2022)
Esha Sarkar, Hadjer Benkraouda, Gopika Krishnan, Homer Gamil, Michail Maniatakos
FaceHack: Attacking Facial Recognition Systems Using Malicious Facial Characteristics. IEEE Trans. Biom. Behav. Identity Sci. 4 (3) (2022)
Manaar Alam, Esha Sarkar, Michail Maniatakos
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations. CoRR (2022)
Yue Wang, Esha Sarkar, Wenqing Li, Michail Maniatakos, Saif Eddin Jabari
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-Based Traffic Congestion Control Systems. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Esha Sarkar, Eduardo Chielle, Gamze Gürsoy, Oleg Mazonka, Mark Gerstein, Michail Maniatakos
Fast and Scalable Private Genotype Imputation Using Machine Learning and Partially Homomorphic Encryption. IEEE Access 9 (2021)
Esha Sarkar, Michail Maniatakos
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis. CoRR (2021)
Prashant Hari Narayan Rajput, Esha Sarkar, Dimitrios Tychalas, Michail Maniatakos
Remote Non-Intrusive Malware Detection for PLCs based on Chain of Trust Rooted in Hardware. EuroS&P (2021)
Munachiso Nwadike, Takumi Miyawaki, Esha Sarkar, Michail Maniatakos, Farah Shamout
Explainability Matters: Backdoor Attacks on Medical Imaging. CoRR (2021)
Esha Sarkar, Hadjer Benkraouda, Michail Maniatakos
I came, I saw, I hacked: Automated Generation of Process-independent Attacks for Industrial Control Systems. AsiaCCS (2020)
Esha Sarkar, Yousif Alkindi, Michail Maniatakos
Backdoor Suppression in Neural Networks using Input Fuzzing and Majority Voting. IEEE Des. Test 37 (2) (2020)
Yue Wang, Esha Sarkar, Michail Maniatakos, Saif Eddin Jabari
Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems. CoRR (2020)
Oleg Mazonka, Esha Sarkar, Eduardo Chielle, Nektarios Georgios Tsoutsos, Michail Maniatakos
Practical Data-in-Use Protection Using Binary Decision Diagrams. IEEE Access 8 (2020)
Esha Sarkar, Hadjer Benkraouda, Michail Maniatakos
FaceHack: Triggering backdoored facial recognition systems using facial characteristics. CoRR (2020)
Esha Sarkar, Michail Maniatakos
On automating delayered IC analysis for hardware IP protection. COINS (2019)
Jairo Giraldo, Esha Sarkar, Alvaro A. Cárdenas, Michail Maniatakos, Murat Kantarcioglu
Security and Privacy in Cyber-Physical Systems: A Survey of Surveys. IEEE Des. Test 34 (4) (2017)