DNA-based Cryptography. - Ashish Gehani; Thomas H. LaBean; John H. Reif (Aspects of Molecular Computing, 2004)

RheoStat: Real-Time Risk Management. - Ashish Gehani; Gershon Kedem (RAID, 2004)

Paranoid: A Global Secure File Access Control System. - Fareed Zaffar; Gershon Kedem; Ashish Gehani (ACSAC, 2005)

PAST: Probabilistic Authentication of Sensor Timestamps. - Ashish Gehani; Surendar Chandra (ACSAC, 2006)

Augmenting storage with an intrusion response primitive to ensure the security of critical data. - Ashish Gehani; Surendar Chandra; Gershon Kedem (AsiaCCS, 2006)

Bonsai: Balanced Lineage Authentication. - Ashish Gehani; Ulf Lindqvist (ACSAC, 2007)

Automated Storage Reclamation Using Temporal Importance Annotations. - Surendar Chandra; Ashish Gehani; Xuwen Yu (ICDCS, 2007)

Super-Resolution Video Analysis for Forensic Investigations. - Ashish Gehani; John H. Reif (IFIP Int. Conf. Digital Forensics, 2007)

VEIL: A System for Certifying Video Provenance. - Ashish Gehani; Ulf Lindqvist (ISM, 2007)

Parameterizing access control for heterogeneous peer-to-peer applications. - Ashish Gehani; Surendar Chandra (SecureComm, 2007)

Parameterized access control: from design to prototype. - Ashish Gehani; Surendar Chandra (SecureComm, 2008)

Steps Toward Managing Lineage Metadata in Grid Clusters. - Ashish Gehani; Minyoung Kim 002; Jian Zhang (Workshop on the Theory and Practice of Provenance, 2009)

System Support for Forensic Inference. - Ashish Gehani; Florent Kirchner; Natarajan Shankar (IFIP Int. Conf. Digital Forensics, 2009)

Tracking and Sketching Distributed Data Provenance. - Tanu Malik; Ligia Nistor; Ashish Gehani (eScience, 2010)

Fine-grained tracking of Grid infections. - Ashish Gehani; Basim Baig; Salman Mahmood; Dawood Tariq; Fareed Zaffar (GRID, 2010)

Mendel: efficiently verifying the lineage of data modified in multiple trust domains. - Ashish Gehani; Minyoung Kim 002 (HPDC, 2010)

Efficient querying of distributed provenance stores. - Ashish Gehani; Minyoung Kim 002; Tanu Malik (HPDC, 2010)

Policy-Based Data Downgrading: Toward a Semantic Framework and Automated Tools to Balance Need-to-Protect and Need-to-Share Policies. - Grit Denker; Ashish Gehani; Minyoung Kim 002; David Hanz (POLICY, 2010)

Performance and extension of user space file systems. - Aditya Rajgarhia; Ashish Gehani (SAC, 2010)

Algorithmic Aspects of Risk Management. - Ashish Gehani; Lee Zaniewski; K. Subramani 001 (Formal Modeling: Actors, Open Systems, Biological Systems, 2011)

On the (f)utility of untrusted data sanitization. - Ashish Gehani; David Hanz; John Rushby; Grit Denker; Rance DeLong (MILCOM, 2011)

Policy-Based Integration of Provenance Metadata. - Ashish Gehani; Dawood Tariq; Basim Baig; Tanu Malik (POLICY, 2011)

Identifying the provenance of correlated anomalies. - Dawood Tariq; Basim Baig; Ashish Gehani; Salman Mahmood; Rashid Tahir; Azeem Aqil; Fareed Zaffar (SAC, 2011)

Ensuring Security and Availability through Model-Based Cross-Layer Adaptation. - Minyoung Kim 002; Mark-Oliver Stehr; Ashish Gehani; Carolyn L. Talcott (UIC, 2011)

SPADE: Support for Provenance Auditing in Distributed Environments. - Ashish Gehani; Dawood Tariq (Middleware, 2012)

Towards Automated Collection of Application-Level Data Provenance. - Dawood Tariq; Maisem Ali; Ashish Gehani (TaPP, 2012)

Cross-platform provenance. - Ashish Gehani; Dawood Tariq (EDBT/ICDT Workshops, 2013)

Optimized Rollback and Re-computation. - Hasnain Lakhani; Rashid Tahir; Azeem Aqil; Fareed Zaffar; Dawood Tariq; Ashish Gehani (HICSS, 2013)

ICEMAN: A System for Efficient, Robust and Secure Situational Awareness at the Network Edge. - Samuel B. Wood; James Mathewson; Joshua Joy; Mark-Oliver Stehr; Minyoung Kim 002; Ashish Gehani; Mario Gerla; Hamid R. Sadjadpour; J. J. Garcia-Luna-Aceves (MILCOM, 2013)

Maximizing availability of content in disruptive environments by cross-layer optimization. - Minyoung Kim 002; Ashish Gehani; Je-Min Kim; Dawood Tariq; Mark-Oliver Stehr; Jin-Soo Kim 001 (SAC, 2013)

Android Provenance: Diagnosing Device Disorders. - Nathaniel Husted; Sharjeel Quresi; Ashish Gehani (TaPP, 2013)

Declaratively Processing Provenance Metadata. - Scott Moore 001; Ashish Gehani (TaPP, 2013)

Analytical models for risk-based intrusion response. - Bugra Çaskurlu; Ashish Gehani; Cemal Çagatay Bilgin; K. Subramani 001 (Comput. Networks, 2013)

PIDGIN: privacy-preserving interest and content sharing in opportunistic networks. - Muhammad Rizwan Asghar; Ashish Gehani; Bruno Crispo; Giovanni Russello (AsiaCCS, 2014)

Provenance Integration. - Ashish Gehani; Dawood Tariq (TAPP, 2014)

Decentralized Authorization and Privacy-Enhanced Routing for Information-Centric Networks. - Mariana Raykova 001; Hasnain Lakhani; Hasanat Kazmi; Ashish Gehani (ACSAC, 2015)

ICEMAN: A Practical Architecture for Situational Awareness at the Network Edge. - Samuel B. Wood; James Mathewson; Joshua Joy; Mark-Oliver Stehr; Minyoung Kim 002; Ashish Gehani; Mario Gerla; Hamid R. Sadjadpour; J. J. Garcia-Luna-Aceves (Logic, Rewriting, and Concurrency, 2015)

Automated software winnowing. - Gregory Malecha; Ashish Gehani; Natarajan Shankar (SAC, 2015)

Using Provenance Patterns to Vet Sensitive Behaviors in Android Apps. - Chao Yang 022; Guangliang Yang 001; Ashish Gehani; Vinod Yegneswaran; Dawood Tariq; Guofei Gu (SecureComm, 2015)

Energy efficient, context-aware cache coding for mobile information-centric networks. - Joshua Joy; Yu-Ting Yu; Mario Gerla; Ashish Gehani; Hasnain Lakhani; Minyoung Kim 002 (DEBS, 2016)

Trade-Offs in Automatic Provenance Capture. - Manolis Stamatogiannakis; Hasanat Kazmi; Hashim Sharif; Remco Vermeulen; Ashish Gehani; Herbert Bos; Paul Groth (IPAW, 2016)

To route or to secure: Tradeoffs in ICNs over MANETs. - Hasanat Kazmi; Hasnain Lakhani; Ashish Gehani; Rashid Tahir; Fareed Zaffar (NCA, 2016)

Scaling SPADE to "Big Provenance". - Ashish Gehani; Hasanat Kazmi; Hassaan Irshad (TaPP, 2016)

Low-Leakage Secure Search for Boolean Expressions. - Fernando Krell; Gabriela F. Ciocarlie; Ashish Gehani; Mariana Raykova 001 (CT-RSA, 2017)

Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem. - Shalini Ghosh; Ariyam Das; Phillip A. Porras; Vinod Yegneswaran; Ashish Gehani (KDD, 2017)

Expressiveness Benchmarking for System-Level Provenance. - Sheung Chi Chan; Ashish Gehani; James Cheney; Ripduman Sohan; Hassaan Irshad (TaPP, 2017)

Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). - Alice Allen; Cecilia R. Aragon; Christoph Becker 001; Jeffrey C. Carver; Andrei Chis; Benoît Combemale; Mike Croucher; Kevin Crowston; Daniel Garijo; Ashish Gehani; Carole A. Goble; Robert Haines; et al. (Dagstuhl Manifestos, 2017)

Efficiently Validating Aggregated IoT Data Integrity. - Nesrine Kaaniche; Eunjin Jung; Ashish Gehani (BigDataService, 2018)

Wholly!: A Build System For The Modern Software Stack. - Loic Gelle; Hassen Saïdi; Ashish Gehani (FMICS, 2018)

Streaming Provenance Compression. - Raza Ahmad; Melanie Bru; Ashish Gehani (IPAW, 2018)

TRIMMER: application specialization for code debloating. - Hashim Sharif; Muhammad Abubakar; Ashish Gehani; Fareed Zaffar (ASE, 2018)

MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation. - Yonghwi Kwon 001; Fei Wang 001; Weihang Wang 001; Kyu Hyung Lee; Wen-Chuan Lee; Shiqing Ma; Xiangyu Zhang 001; Dongyan Xu; Somesh Jha; Gabriela F. Ciocarlie; Ashish Gehani; Vinod Yegneswaran (NDSS, 2018)

Kernel-Supported Cost-Effective Audit Logging for Causality Tracking. - Shiqing Ma; Juan Zhai; Yonghwi Kwon 001; Kyu Hyung Lee; Xiangyu Zhang 001; Gabriela F. Ciocarlie; Ashish Gehani; Vinod Yegneswaran; Dongyan Xu; Somesh Jha (USENIX ATC, 2018)

Longitudinal Analysis of Misuse of Bitcoin. - Karim Eldefrawy; Ashish Gehani; Alexandre Matton (ACNS, 2019)

Data Mining-Based Ethereum Fraud Detection. - Eunjin Jung; Marion Le Tilly; Ashish Gehani; Yunjie Ge (Blockchain, 2019)

ProvMark: A Provenance Expressiveness Benchmarking System. - Sheung Chi Chan; James Cheney; Pramod Bhatotia; Thomas F. J.-M. Pasquier; Ashish Gehani; Hassaan Irshad; Lucian Carata; Margo I. Seltzer (Middleware, 2019)

Mining Data Provenance to Detect Advanced Persistent Threats. - Mathieu Barré; Ashish Gehani; Vinod Yegneswaran (TaPP, 2019)

Xanthus: Push-button Orchestration of Host Provenance Data Collection. - Xueyuan Han; James Mickens; Ashish Gehani; Margo I. Seltzer; Thomas F. J.-M. Pasquier (P-RECS@HPDC, 2020)

MiDas: Containerizing Data-Intensive Applications with I/O Specialization. - Chaitra Niddodi; Ashish Gehani; Tanu Malik; Jorge A. Navas; Sibin Mohan (P-RECS@HPDC, 2020)

Prov-Trust: Towards a Trustworthy SGX-based Data Provenance System. - Nesrine Kaaniche; Sana Belguith; Maryline Laurent; Ashish Gehani; Giovanni Russello (ICETE (2), 2020)

Discrepancy Detection in Whole Network Provenance. - Raza Ahmad; Eunjin Jung; Carolina de Senne Garcia; Hassaan Irshad; Ashish Gehani (TaPP, 2020)

Integrity Checking and Abnormality Detection of Provenance Records. - Sheung Chi Chan; Ashish Gehani; Hassaan Irshad; James Cheney (TaPP, 2020)

Efficient Provenance Alignment in Reproduced Executions. - Yuta Nakamura; Tanu Malik; Ashish Gehani (TaPP, 2020)

ALchemist: Fusing Application and Audit Logs for Precise Attack Provenance without Instrumentation. - Le Yu; Shiqing Ma; Zhuo Zhang 002; Guanhong Tao 001; Xiangyu Zhang 001; Dongyan Xu; Vincent E. Urias; Han Wei Lin; Gabriela F. Ciocarlie; Vinod Yegneswaran; Ashish Gehani (NDSS, 2021)

Practical Provenance Privacy Protection. - Ashish Gehani; Raza Ahmad; Hassaan Irshad (TaPP, 2021)

CLARION: Sound and Clear Provenance Tracking for Microservice Deployments. - Xutong Chen; Hassaan Irshad; Yan Chen 004; Ashish Gehani; Vinod Yegneswaran (USENIX Security Symposium, 2021)

Digging into big provenance (with SPADE). - Ashish Gehani; Raza Ahmad; Hassaan Irshad; Jianqiao Zhu; Jignesh M. Patel (Commun. ACM, 2021)

Digging into Big Provenance (with SPADE): A user interface for querying provenance. - Ashish Gehani; Raza Ahmad; Hassan Irshad; Jianqiao Zhu; Jignesh M. Patel (ACM Queue, 2021)

TRACE: Enterprise-Wide Provenance Tracking for Real-Time APT Detection. - Hassaan Irshad; Gabriela F. Ciocarlie; Ashish Gehani; Vinod Yegneswaran; Kyu Hyung Lee; Jignesh M. Patel; Somesh Jha; Yonghwi Kwon 001; Dongyan Xu; Xiangyu Zhang 001 (IEEE Trans. Inf. Forensics Secur., 2021)

Provenance-based Workflow Diagnostics Using Program Specification. - Yuta Nakamura; Tanu Malik; Iyad Kanj; Ashish Gehani (HIPC, 2022)

PACED: Provenance-based Automated Container Escape Detection. - Mashal Abbas; Shahpar Khan; Abdul Monum; Fareed Zaffar; Rashid Tahir; David M. Eyers; Hassaan Irshad; Ashish Gehani; Vinod Yegneswaran; Thomas Pasquier (IC2E, 2022)

Trimmer: Context-Specific Code Reduction. - Aatira Anum Ahmad; Mubashir Anwar; Hashim Sharif; Ashish Gehani; Fareed Zaffar (ASE, 2022)

CHEX: Multiversion Replay with Ordered Checkpoints. - Naga Nithin Manne; Shilvi Satpati; Tanu Malik; Amitabha Bagchi; Ashish Gehani; Amitabh Chaudhary (Proc. VLDB Endow., 2022)

OCCAM-v2: Combining Static and Dynamic Analysis for Effective and Efficient Whole-program Specialization: Leveraging scalable pointer analysis, value analysis, and dynamic analysis. - Jorge A. Navas; Ashish Gehani (ACM Queue, 2022)

Trimmer: An Automated System for Configuration-Based Software Debloating. - Aatira Anum Ahmad; Abdul Rafae Noor; Hashim Sharif; Usama Hameed; Shoaib Asif; Mubashir Anwar; Ashish Gehani; Fareed Zaffar; Junaid Haroon Siddiqui (IEEE Trans. Software Eng., 2022)

SoK: A Tale of Reduction, Security, and Correctness - Evaluating Program Debloating Paradigms and Their Compositions. - Muaz Ali; Muhammad Muzammil; M. Faraz Karim; Ayesha Naeem; Rukhshan Haroon; Muhammad Haris; Huzaifah Nadeem; Waseem Sabir; Fahad Shaon; Fareed Zaffar; Vinod Yegneswaran; Ashish Gehani; et al. (ESORICS (4), 2023)

Analyzing Discrepancies in Whole-Network Provenance. - Raza Ahmad; Aniket Modi; Eunjin Jung; Carolina de Senne Garcia; Hassaan Irshad; Ashish Gehani (Critical Infrastructure Protection, 2023)

BLADE: Towards Scalable Source Code Debloating. - Muaz Ali; Rumaisa Habib; Ashish Gehani; Sazzadur Rahaman; Zartash Afzal Uzmi (SecDev, 2023)

Evaluating Container Debloaters. - Muhammad Hassan 005; Talha Tahir; Muhammad Farrukh; Abdullah Naveed; Anas Naeem; Fareed Zaffar; Fahad Shaon; Ashish Gehani; Sazzadur Rahaman (SecDev, 2023)

Towards Reproducible Ransomware Analysis. - Shozab Hussain; Musa Muhammad; Turyal Neeshat; Rja Batool; Omer Ahmed; Fareed Zaffar; Ashish Gehani; Andy Poggio; Maneesh K. Yadav (CSET @ USENIX Security Symposium, 2023)

Querying Container Provenance. - Aniket Modi; Moaz Reyad; Tanu Malik; Ashish Gehani (WWW (Companion Volume), 2023)

IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility. - Chaitra Niddodi; Ashish Gehani; Tanu Malik; Sibin Mohan; Michael Lee Rilee (IEEE Access, 2023)

OCCAM-v2: Combining Static and Dynamic Analysis for Effective and Efficient Whole-Program Specialization. - Jorge A. Navas; Ashish Gehani (Commun. ACM, 2023)

autoMPI: Automated Multiple Perspective Attack Investigation With Semantics Aware Execution Partitioning. - Mohannad Alhanahnah; Shiqing Ma; Ashish Gehani; Gabriela F. Ciocarlie; Vinod Yegneswaran; Somesh Jha; Xiangyu Zhang 001 (IEEE Trans. Software Eng., 2023)

Access-Based Carving of Data for Efficient Reproducibility of Containers. - Rohan Tikmany; Aniket Modi; Raffay Atiq; Moaz Reyad; Ashish Gehani; Tanu Malik (CCGrid, 2024)

SoK: Software Debloating Landscape and Future Directions. - Mohannad Alhanahnah; Yazan Boshmaf; Ashish Gehani (FEAST@CCS, 2024)

6G-XSec: Explainable Edge Security for Emerging OpenRAN Architectures. - Haohuang Wen; Prakhar Sharma; Vinod Yegneswaran; Phillip A. Porras; Ashish Gehani; Zhiqiang Lin 001 (HotNets, 2024)

Kondo: Efficient Provenance-Driven Data Debloating. - Aniket Modi; Rohan Tikmany; Tanu Malik; Raghavan Komondoor; Ashish Gehani; Deepak D'Souza (ICDE, 2024)

5G-Spector: An O-RAN Compliant Layer-3 Cellular Attack Detection Service. - Haohuang Wen; Phillip A. Porras; Vinod Yegneswaran; Ashish Gehani; Zhiqiang Lin 001 (NDSS, 2024)

SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection. - Brian Matejek; Ashish Gehani; Nathaniel D. Bastian; Daniel J. Clouse; Bradford J. Kline; Susmit Jha (Trans. Mach. Learn. Res., 2025)

Interpreting Agent Behaviors in Reinforcement-Learning-Based Cyber-Battle Simulation Platforms. - Jared Claypoole; Steven Cheung; Ashish Gehani; Vinod Yegneswaran; Ahmad Ridley (CoRR, 2025)