Host-based anomaly detection for pervasive medical systems. - Biniyam Asfaw; Dawit Bekele; Birhanu Eshete; Adolfo Villafiorita; Komminist Weldemariam (CRiSIS, 2010)

Context Information Refinement for Pervasive Medical Systems. - Dawit Bekele; Birhanu Eshete; Adolfo Villafiorita; Komminist Weldemariam (ICDS, 2010)

ICT for Good: Opportunities, Challenges and the Way Forward. - Birhanu Eshete; Andrea Mattioli 001; Adolfo Villafiorita; Komminist Weldemariam (ICDS, 2010)

Early Detection of Security Misconfiguration Vulnerabilities in Web Applications. - Birhanu Eshete; Adolfo Villafiorita; Komminist Weldemariam (ARES, 2011)

Malicious Website Detection: Effectiveness and Efficiency Issues. - Birhanu Eshete; Adolfo Villafiorita; Komminist Weldemariam (SysSec@DIMVA, 2011)

Social Accountability for Mozambique: An Experience Report from the Moamba District. - Aaron Ciaghi; Birhanu Eshete; Pietro Molini; Adolfo Villafiorita (AFRICOMM, 2012)

BINSPECT: Holistic Analysis and Detection of Malicious Web Pages. - Birhanu Eshete; Adolfo Villafiorita; Komminist Weldemariam (SecureComm, 2012)

EINSPECT: Evolution-Guided Analysis and Detection of Malicious Web Pages. - Birhanu Eshete; Adolfo Villafiorita; Komminist Weldemariam; Mohammad Zulkernine (COMPSAC, 2013)

SAMo: experimenting a social accountability web platform. - Aaron Ciaghi; Birhanu Eshete; Pietro Molini; Adolfo Villafiorita (ACM DEV (3), 2013)

Confeagle: Automated Analysis of Configuration Vulnerabilities in Web Applications. - Birhanu Eshete; Adolfo Villafiorita; Komminist Weldemariam; Mohammad Zulkernine (SERE, 2013)

Effective analysis, characterization, and detection of malicious web pages. - Birhanu Eshete (WWW (Companion Volume), 2013)

Effective Analysis, Characterization, and Detection of Malicious Activities on the Web. - Birhanu Eshete (2013)

WebWinnow: leveraging exploit kit workflows to detect malicious urls. - Birhanu Eshete; V. N. Venkatakrishnan (CODASPY, 2014)

EKHunter: A Counter-Offensive Toolkit for Exploit Kit Infiltration. - Birhanu Eshete; Abeer Alhuzali; Maliheh Monshizadeh; Phillip A. Porras; Venkat N. Venkatakrishnan; Vinod Yegneswaran (NDSS, 2015)

Chainsaw: Chained Automated Workflow-based Exploit Generation. - Abeer Alhuzali; Birhanu Eshete; Rigel Gjomemo; V. N. Venkatakrishnan (CCS, 2016)

Attack Analysis Results for Adversarial Engagement 1 of the DARPA Transparent Computing Program. - Birhanu Eshete; Rigel Gjomemo; Md Nahid Hossain; Sadegh Momeni; R. Sekar 001; Scott D. Stoller; V. N. Venkatakrishnan; Junao Wang (CoRR, 2016)

DynaMiner: Leveraging Offline Infection Analytics for On-the-Wire Malware Detection. - Birhanu Eshete; V. N. Venkatakrishnan (DSN, 2017)

SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data. - Md Nahid Hossain; Sadegh M. Milajerdi; Junao Wang; Birhanu Eshete; Rigel Gjomemo; R. Sekar 001; Scott D. Stoller; V. N. Venkatakrishnan (USENIX Security Symposium, 2017)

ProPatrol: Attack Investigation via Extracted High-Level Tasks. - Sadegh M. Milajerdi; Birhanu Eshete; Rigel Gjomemo; Venkat N. Venkatakrishnan (ICISS, 2018)

NAVEX: Precise and Scalable Exploit Generation for Dynamic Web Applications. - Abeer Alhuzali; Rigel Gjomemo; Birhanu Eshete; V. N. Venkatakrishnan (USENIX Security Symposium, 2018)

POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting. - Sadegh M. Milajerdi; Birhanu Eshete; Rigel Gjomemo; V. N. Venkatakrishnan (CCS, 2019)

HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows. - Sadegh Momeni Milajerdi; Rigel Gjomemo; Birhanu Eshete; R. Sekar 001; V. N. Venkatakrishnan (IEEE Symposium on Security and Privacy, 2019)

Best-Effort Adversarial Approximation of Black-Box Malware Classifiers. - Abdullah Ali; Birhanu Eshete (SecureComm (1), 2020)

Morphence: Moving Target Defense Against Adversarial Examples. - Abderrahmen Amich; Birhanu Eshete (ACSAC, 2021)

PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting. - Ismat Jarin; Birhanu Eshete (IWSPA@CODASPY, 2021)

Explanation-Guided Diagnosis of Machine Learning Evasion Attacks. - Abderrahmen Amich; Birhanu Eshete (SecureComm (1), 2021)

EG-Booster: Explanation-Guided Booster of ML Evasion Attacks. - Abderrahmen Amich; Birhanu Eshete (CODASPY, 2022)

DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning. - Ismat Jarin; Birhanu Eshete (CODASPY, 2022)

Adversarial Detection of Censorship Measurements. - Abderrahmen Amich; Birhanu Eshete; Vinod Yegneswaran (WPES@CCS, 2022)

Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem. - Abderrahmen Amich; Birhanu Eshete (CoRR, 2022)

Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection. - Abderrahmen Amich; Ata Kaboudi; Birhanu Eshete (CoRR, 2022)

Designing Secure Performance Metrics for Last Level Cache. - Probir Roy; Birhanu Eshete; Pengfei Su 001 (IPDPS Workshops, 2023)

DeResistor: Toward Detection-Resistant Probing for Evasion of Internet Censorship. - Abderrahmen Amich; Birhanu Eshete; Vinod Yegneswaran; Nguyen Phong Hoang (USENIX Security Symposium, 2023)

MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members. - Ismat Jarin; Birhanu Eshete (Proc. Priv. Enhancing Technol., 2023)

PoisonSpot: Precise Spotting of Clean-Label Backdoors via Fine-Grained Training Provenance Tracking. - Philemon Hailemariam; Birhanu Eshete (CCS, 2025)

DeepProv: Behavioral Characterization and Repair of Neural Networks via Inference Provenance Graph Analysis. - Firas Ben Hmida; Abderrahmen Amich; Ata Kaboudi; Birhanu Eshete (CoRR, 2025)