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Employment (2)

Portland State University: Portland, Oregon, US

2023 to present | Assitant Professor (Computer Science)
Employment
Source: Self-asserted source
Primal Pappachan

The Pennsylvania State University - University Park Campus: University Park, PA, US

2021 to 2023 | Postdoctoral Scholar
Employment
Source: Self-asserted source
Primal Pappachan

Works (15)

ACCORD: Constraint-driven Mediation of Multi-user Conflicts in Cloud Services

Proceedings of the ACM Web Conference
2024 | Conference paper
Contributors: Tippavajjula, Abhiroop; Primal Pappachan; Squicciarini, Anna; Such, Jose
Source: Self-asserted source
Primal Pappachan

GenAIPABench: A benchmark for generative AI-based privacy assistants

Privacy Enhancing Technologies Symposium (PETS 2024)
2024 | Conference paper
Contributors: Hamid, Aamir; Samidi, Hemanth Reddy; Finin, Tim; Primal Pappachan; Yus, Roberto
Source: Self-asserted source
Primal Pappachan

Preventing Inferences Through Data Dependencies on Sensitive Data

IEEE Transactions on Knowledge and Data Engineering
2024-10 | Journal article
Contributors: Primal Pappachan; Shufan Zhang; Xi He; Sharad Mehrotra
Source: check_circle
Crossref

ACCORD: Constraint-driven Mediation of Multi-user Conflicts in Cloud Services

2024-05-13 | Conference paper
Contributors: Abhiroop Tippavajjula; Primal Pappachan; Anna Squicciarini; Jose Such
Source: check_circle
Crossref

CORGI: An interactive framework for Customizable and Robust Location Obfuscation

IEEE International Conference on Data Engineering (ICDE)
2023 | Conference paper
Contributors: Pappachan, Primal; Manjunath, Vishnu Sharma Hunsur; Qiu, Chenxi; Squicciarini, Anna; Onweller, Hailey
Source: Self-asserted source
Primal Pappachan

Differentially Private Streaming Data Release under Temporal Correlations via Post-processing

37th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec'23)
2023 | Conference paper
Source: Self-asserted source
Primal Pappachan

User Customizable and Robust Geo-Indistinguishability for Location Privacy

Proceedings of the 26th International Conference on Extending Database Technology (EDBT)
2023 | Conference paper
Contributors: Primal Pappachan; Qiu, Chenxi; Squicciarini, Anna; Manjunath, Vishnu Sharma Hunsur
Source: Self-asserted source
Primal Pappachan

Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data

Proc. Very Large Databases (VLDB) Endow.
2022 | Conference paper
URI:

https://www.vldb.org/pvldb/vol15/p2437-pappachan.pdf

Source: Self-asserted source
Primal Pappachan

TrafficAdaptor: An Adaptive Obfuscation Strategy for Vehicle Location Privacy Against Traffic Flow Aware Attack

ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL)
2022 | Conference paper
Part of ISBN: 9781450395298
Contributors: Chenxi Qiu; Li, Yan; Squicciarini, Anna; Zhao, Juanjuan; Xu, Chengzhong; Primal Pappachan
Source: Self-asserted source
Primal Pappachan

Designing privacy preserving data sharing middleware for internet of things

DATA Workshop @ SenSys
2020 | Conference paper
Source: Self-asserted source
Primal Pappachan

Sieve: A Middleware Approach to Scalable Access Control for Database Management Systems

Proc. Very Large Databases (VLDB) Endow.
2020 | Conference paper
URI:

http://www.vldb.org/pvldb/vol13/p2424-pappachan.pdf

Source: Self-asserted source
Primal Pappachan

Towards Privacy-Aware Smart Buildings: Capturing, Communicating, and Enforcing Privacy Policies and Preferences

ICDCS Workshops
2017 | Conference paper
Source: Self-asserted source
Primal Pappachan

A Semantic Context-Aware Privacy Model for FaceBlock

PrivOn Workshop @ ISWC
2014 | Conference paper
Contributors: \textbfPrimal Pappachan and Roberto Yus and Prajit Kumar Das and Tim Finin and Eduardo Mena and Anupam Joshi
Source: Self-asserted source
Primal Pappachan

FaceBlock: privacy-aware pictures for google glass

MobiSys
2014 | Conference paper
Source: Self-asserted source
Primal Pappachan

Semantics for Privacy and Shared Context

PrivOn Workshop @ ISWC
2014 | Conference paper
Source: Self-asserted source
Primal Pappachan