``Privatizing One-shot and Continual Observation Histograms'' by Ryan Rogers
Boston-area Data Privacy Seminars
``Privatizing One-shot and Continual Observation Histograms'' by Ryan Rogers
1:05:30
``Practical and Private (Deep) Learning without Sampling or Shuffling'' by Abhradeep G. T. and Om T.
Boston-area Data Privacy Seminars
``Practical and Private (Deep) Learning without Sampling or Shuffling'' by Abhradeep G. T. and Om T.
1:04:21
``Differentially private inference via noisy optimization'' by Marco Avella Medina
Boston-area Data Privacy Seminars
``Differentially private inference via noisy optimization'' by Marco Avella Medina
1:01:13
Low-communication Algorithms for Private Federated Data Analysis with Optimal Accuracy Guarantees
Boston-area Data Privacy Seminars
Low-communication Algorithms for Private Federated Data Analysis with Optimal Accuracy Guarantees
1:11:57
The challenge of retaining information without retaining individual responses by Frauke K.&Steven W.
Boston-area Data Privacy Seminars
The challenge of retaining information without retaining individual responses by Frauke K.&Steven W.
59:17
``Private Convex Optimization via Exponential Mechanism'' by Sivakanth Gopi (March 21)
Boston-area Data Privacy Seminars
``Private Convex Optimization via Exponential Mechanism'' by Sivakanth Gopi (March 21)
1:03:48
Negotiating Privacy & Fitness for Use in DP Deployments at Statistical Agencies (A. Machanavajjhala)
Boston-area Data Privacy Seminars
Negotiating Privacy & Fitness for Use in DP Deployments at Statistical Agencies (A. Machanavajjhala)
1:09:35
``FriendlyCore: Practical Differentially Private Aggregation" by Eliad Tsfadia (Jan 21)
Boston-area Data Privacy Seminars
``FriendlyCore: Practical Differentially Private Aggregation" by Eliad Tsfadia (Jan 21)
1:02:10
``Differential Privacy and Machine Unlearning'' by Aaron Roth (12/03)
Boston-area Data Privacy Seminars
``Differential Privacy and Machine Unlearning'' by Aaron Roth (12/03)
1:12:14
``Per-Query Error and Differential Privacy'' by Daniel Kifer (11/29)
Boston-area Data Privacy Seminars
``Per-Query Error and Differential Privacy'' by Daniel Kifer (11/29)
1:17:17
``Inference and Privacy'' by Daniel Sheldon (11/12)
Boston-area Data Privacy Seminars
``Inference and Privacy'' by Daniel Sheldon (11/12)
1:10:41
``User-Level Differentially Private Learning via Correlated Sampling'' by Pasin Manurangsi (11/05)
Boston-area Data Privacy Seminars
``User-Level Differentially Private Learning via Correlated Sampling'' by Pasin Manurangsi (11/05)
1:06:06
``Hyperparameter Tuning with Renyi Differential Privacy'' by Thomas Steinke (10/29)
Boston-area Data Privacy Seminars
``Hyperparameter Tuning with Renyi Differential Privacy'' by Thomas Steinke (10/29)
1:14:36
``Mean Estimation with User-level Privacy under Data Heterogeneity'' by Rachel Cummings (10.22)
Boston-area Data Privacy Seminars
``Mean Estimation with User-level Privacy under Data Heterogeneity'' by Rachel Cummings (10.22)
1:06:48
``Learning with user-level differential privacy'' by Ananda Theertha Suresh (10.15)
Boston-area Data Privacy Seminars
``Learning with user-level differential privacy'' by Ananda Theertha Suresh (10.15)
54:51