The following pages link to Privacy preserving data mining (Q5917416):
Displaying 40 items.
- Efficient set operations in the presence of malicious adversaries (Q434343) (← links)
- Asynchronous privacy-preserving iterative computation on peer-to-peer networks (Q455943) (← links)
- Privacy preserving OLAP over distributed XML data: A theoretically-sound secure-multiparty-computation approach (Q657907) (← links)
- \(k\)-anonymous data collection (Q730905) (← links)
- Generalization-based privacy preservation and discrimination prevention in data publishing and mining (Q736497) (← links)
- Privacy preserving electronic data gathering (Q815396) (← links)
- Privacy-preserving algorithms for distributed mining of frequent itemsets (Q867633) (← links)
- On privacy-preserving time series data classification (Q969188) (← links)
- Private multiparty sampling and approximation of vector combinations (Q1014646) (← links)
- Privacy-preserving inverse distance weighted interpolation (Q1639853) (← links)
- Oblivious polynomial evaluation and secure set-intersection from algebraic PRFs (Q1753171) (← links)
- Private set-intersection with common set-up (Q1783703) (← links)
- A practical privacy preserving protocol in database-driven cognitive radio networks (Q1784500) (← links)
- Privacy preserving linear regression modeling of distributed databases (Q1947629) (← links)
- Public verifiable private decision tree prediction (Q2057148) (← links)
- Privacy-preserving naive Bayes classifiers secure against the substitution-then-comparison attack (Q2195311) (← links)
- Privacy-preserving ridge regression on distributed data (Q2195358) (← links)
- Confidential gossip (Q2204776) (← links)
- Symmetric cryptographic protocols for extended millionaires' problem (Q2267143) (← links)
- Two methods for privacy preserving data mining with malicious participants (Q2456504) (← links)
- Symmetric cryptographic solution to Yao's millionaires' problem and an evaluation of secure multiparty computations (Q2465979) (← links)
- Itemset frequency satisfiability: complexity and axiomatization (Q2481978) (← links)
- Oblivious polynomial evaluation and oblivious neural learning (Q2566001) (← links)
- Privacy preserving feature selection and multiclass classification for horizontally distributed data (Q2668550) (← links)
- An improved technique for privacy preserving clustering based on Daubechies-2 wavelet transform (Q2855828) (← links)
- Secure Naïve Bayesian Classification over Encrypted Data in Cloud (Q2953854) (← links)
- Efficient Secure Two-Party Exponentiation (Q3073692) (← links)
- Data mining as a tool in privacy-preserving data publishing (Q3161428) (← links)
- How to deal with malicious users in privacy‐preserving distributed data mining (Q3497744) (← links)
- Privacy Preserving Data Mining within Anonymous Credential Systems (Q3540036) (← links)
- Practical Secure Naïve Bayesian Classification Over Encrypted Big Data in Cloud (Q4605646) (← links)
- Outsourced Privacy-Preserving Random Decision Tree Algorithm Under Multiple Parties for Sensor-Cloud Integration (Q5056037) (← links)
- Privacy-Preserving Subgraph Matching Protocol for Two Parties (Q5205011) (← links)
- Fast Private Norm Estimation and Heavy Hitters (Q5445506) (← links)
- Typed Lambda Calculi and Applications (Q5704016) (← links)
- Efficient protocols for set intersection and pattern matching with security against malicious and covert adversaries (Q5962221) (← links)
- Secure computation of the median (and other elements of specified ranks) (Q5962224) (← links)
- Differentially-private learning of low dimensional manifolds (Q5964068) (← links)
- Secure Computation of Inner Product of Vectors with Distributed Entries and Its Applications to SVM (Q6108629) (← links)
- Client-aided privacy-preserving machine learning (Q6660391) (← links)
