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Classifier evaluation and attribute selection against active adversaries

Data mining and knowledge discovery, 2011, Vol.22 (1-2), p.291-335

2011

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Privately Computing a Distributed k-nn Classifier

Knowledge Discovery in Databases: PKDD 2004, 2004, p.279-290

2004

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Transforming semi-honest protocols to ensure accountability

Data & knowledge engineering, 2008-04, Vol.65 (1), p.57-74

2008

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Secure logical schema and decomposition algorithm for proactive context dependent attribute based inference control

Data & knowledge engineering, 2017-09, Vol.111, p.1-21

2017

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The applicability of the perturbation based privacy preserving data mining for real-world data

Data & knowledge engineering, 2008-04, Vol.65 (1), p.5-21

2008

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A survey of game theoretic approach for adversarial machine learning

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2019-05, Vol.9 (3), p.e1259-n/a

2019

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Privacy-preserving distributed mining of association rules on horizontally partitioned data

IEEE transactions on knowledge and data engineering, 2004-09, Vol.16 (9), p.1026-1037

2004

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Preventing Private Information Inference Attacks on Social Networks

IEEE transactions on knowledge and data engineering, 2013-08, Vol.25 (8), p.1849-1862

2013

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Determining the Impact of Missing Values on Blocking in Record Linkage

Advances in Knowledge Discovery and Data Mining, p.262-274

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An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining

Advances in Knowledge Discovery and Data Mining, p.515-524

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Privacy Preserving Synthetic Data Release Using Deep Learning

Machine Learning and Knowledge Discovery in Databases, p.510-526

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Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2022-01, Vol.12 (1), p.e1436-n/a

2022

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Data Mining with Algorithmic Transparency

Advances in Knowledge Discovery and Data Mining, p.130-142

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Modeling Adversarial Learning as Nested Stackelberg Games

Advances in Knowledge Discovery and Data Mining, p.350-362

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Composite Bloom Filters for Secure Record Linkage

IEEE transactions on knowledge and data engineering, 2014-12, Vol.26 (12), p.2956-2968

2014

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Incentive Compatible Privacy-Preserving Data Analysis

IEEE transactions on knowledge and data engineering, 2013-06, Vol.25 (6), p.1323-1335

2013

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GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks

IEEE transactions on knowledge and data engineering, 2021-01, Vol.33 (1), p.116-127

2021

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Quantifying the correctness, computational complexity, and security of privacy-preserving string comparators for record linkage

Information fusion, 2012-10, Vol.13 (4), p.245-259

2012

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Adversarial Active Learning in the Presence of Weak and Malicious Oracles

Trends and Applications in Knowledge Discovery and Data Mining, p.77-89

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A roadmap for privacy-enhanced secure data provenance

Journal of intelligent information systems, 2014-12, Vol.43 (3), p.481-501

2014

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Defending against Backdoors in Federated Learning with Robust Learning Rate

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2021, Vol.35 (10), p.9268-9276

2021

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Securing Big Data in the Age of AI

2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2019, p.218-220

2019

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On demand synchronization and load distribution for database grid-based Web applications

Data & knowledge engineering, 2004-12, Vol.51 (3), p.295-323

2004

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Formal anonymity models for efficient privacy-preserving joins

Data & knowledge engineering, 2009-11, Vol.68 (11), p.1206-1223

2009

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The Impact of Data Distribution on Fairness and Robustness in Federated Learning

2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2021, p.191-196

2021

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Classifier evaluation and attribute selection against active adversaries

Privately Computing a Distributed k-nn Classifier

Transforming semi-honest protocols to ensure accountability

Secure logical schema and decomposition algorithm for proactive context dependent attribute based inference control

The applicability of the perturbation based privacy preserving data mining for real-world data

A survey of game theoretic approach for adversarial machine learning

Privacy-preserving distributed mining of association rules on horizontally partitioned data

Preventing Private Information Inference Attacks on Social Networks

Determining the Impact of Missing Values on Blocking in Record Linkage

An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining

Privacy Preserving Synthetic Data Release Using Deep Learning

Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota

Data Mining with Algorithmic Transparency

Modeling Adversarial Learning as Nested Stackelberg Games

Composite Bloom Filters for Secure Record Linkage

Incentive Compatible Privacy-Preserving Data Analysis

GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks

Quantifying the correctness, computational complexity, and security of privacy-preserving string comparators for record linkage

Adversarial Active Learning in the Presence of Weak and Malicious Oracles

A roadmap for privacy-enhanced secure data provenance

Defending against Backdoors in Federated Learning with Robust Learning Rate

Securing Big Data in the Age of AI

On demand synchronization and load distribution for database grid-based Web applications

Formal anonymity models for efficient privacy-preserving joins

The Impact of Data Distribution on Fairness and Robustness in Federated Learning

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