Pages that link to "Item:Q2810785"
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The following pages link to Extremal mechanisms for local differential privacy (Q2810785):
Displaying 20 items.
- A compressive privacy approach to generalized information bottleneck and privacy funnel problems (Q1661460) (← links)
- A criterion for privacy protection in data collection and its attainment via randomized response procedures (Q1711578) (← links)
- Strongly universally consistent nonparametric regression and classification with privatised data (Q2044383) (← links)
- SPEED: secure, private, and efficient deep learning (Q2051270) (← links)
- Distributionally-robust machine learning using locally differentially-private data (Q2128767) (← links)
- Locality sensitive hashing with extended differential privacy (Q2148769) (← links)
- Bounded privacy-utility monotonicity indicating bounded tradeoff of differential privacy mechanisms (Q2306022) (← links)
- Optimal locally private estimation under \(\ell_p\) loss for \(1\le p\le 2\) (Q2326993) (← links)
- Extreme points of the local differential privacy polytope (Q2406401) (← links)
- Buying Data from Privacy-Aware Individuals: The Effect of Negative Payments (Q2959821) (← links)
- (Q3306526) (← links)
- Heavy Hitters and the Structure of Local Privacy (Q4973047) (← links)
- (Q5159397) (← links)
- Exponential Separations in Local Privacy (Q6058260) (← links)
- An accurate, scalable and verifiable protocol for federated differentially private averaging (Q6097108) (← links)
- Minimax randomized response methods for protecting respondent’s privacy (Q6107523) (← links)
- On robustness and local differential privacy (Q6172196) (← links)
- Local differential privacy for federated learning (Q6173289) (← links)
- Total variation distance privacy: accurately measuring inference attacks and improving utility (Q6496137) (← links)
- Efficiency in local differential privacy (Q6656614) (← links)
