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)

On automating delayered IC analysis for hardware IP protection. - Esha Sarkar; Michail Maniatakos (COINS, 2019)

I came, I saw, I hacked: Automated Generation of Process-independent Attacks for Industrial Control Systems. - Esha Sarkar; Hadjer Benkraouda; Michail Maniatakos (AsiaCCS, 2020)

Practical Data-in-Use Protection Using Binary Decision Diagrams. - Oleg Mazonka; Esha Sarkar; Eduardo Chielle; Nektarios Georgios Tsoutsos; Michail Maniatakos (IEEE Access, 2020)

Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems. - Yue Wang 055; Esha Sarkar; Michail Maniatakos; Saif Eddin Jabari (CoRR, 2020)

FaceHack: Triggering backdoored facial recognition systems using facial characteristics. - Esha Sarkar; Hadjer Benkraouda; Michail Maniatakos (CoRR, 2020)

Backdoor Suppression in Neural Networks using Input Fuzzing and Majority Voting. - Esha Sarkar; Yousif Alkindi; Michail Maniatakos (IEEE Des. Test, 2020)

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 (EuroS&P, 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)

Explainability Matters: Backdoor Attacks on Medical Imaging. - Munachiso Nwadike; Takumi Miyawaki; Esha Sarkar; Michail Maniatakos; Farah Shamout (CoRR, 2021)

TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis. - Esha Sarkar; Michail Maniatakos (CoRR, 2021)

Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-Based Traffic Congestion Control Systems. - Yue Wang 055; Esha Sarkar; Wenqing Li; Michail Maniatakos; Saif Eddin Jabari (IEEE Trans. Inf. Forensics Secur., 2021)

PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. - Yue Wang 055; Wenqing Li; Esha Sarkar; Muhammad Shafique 001; Michail Maniatakos; Saif Eddin Jabari (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)

PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations. - Manaar Alam; Esha Sarkar; Michail Maniatakos (CoRR, 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 Backdoors in Federated Learning using Adversarial Perturbations. - Manaar Alam; Esha Sarkar; Michail Maniatakos (COINS, 2023)

TRAPDOOR: Repurposing neural network backdoors to detect dataset bias in machine learning-based genomic analysis. - Esha Sarkar; Constantine Doumanidis; Michail Maniatakos (VLSI-SoC, 2023)

A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. - Yue Wang 055; Wenqing Li; Esha Sarkar; Muhammad Shafique 001; Michail Maniatakos; Saif Eddin Jabari (IEEE Trans. Artif. Intell., 2024)