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Algorithmic Stability for Adaptive Data Analysis

Algorithmic Stability for Adaptive Data Analysis

8 November 2015
Raef Bassily
Kobbi Nissim
Adam D. Smith
Thomas Steinke
Uri Stemmer
Jonathan R. Ullman
ArXiv (abs)PDFHTML

Papers citing "Algorithmic Stability for Adaptive Data Analysis"

50 / 171 papers shown
Quantum Information Ordering and Differential Privacy
Quantum Information Ordering and Differential Privacy
Ayanava Dasgupta
Naqueeb Ahmad Warsi
Masahito Hayashi
190
0
0
03 Nov 2025
Panprediction: Optimal Predictions for Any Downstream Task and Loss
Panprediction: Optimal Predictions for Any Downstream Task and Loss
Sivaraman Balakrishnan
Nika Haghtalab
Daniel Hsu
Brian Lee
Eric Zhao
118
2
0
31 Oct 2025
Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity
Private Realizable-to-Agnostic Transformation with Near-Optimal Sample ComplexityAnnual Conference Computational Learning Theory (COLT), 2025
B. Li
Wei Wang
Peng Ye
395
1
0
01 Oct 2025
Efficiently Attacking Memorization Scores
Efficiently Attacking Memorization Scores
Tue Do
Varun Chandrasekaran
Daniel Alabi
TDIAAML
323
0
0
24 Sep 2025
The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation
The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for ℓ2\ell_2ℓ2​ Norm Estimation
Sara Ahmadian
E. Cohen
Uri Stemmer
188
1
0
22 Jul 2025
Tight Bounds for Answering Adaptively Chosen Concentrated Queries
Tight Bounds for Answering Adaptively Chosen Concentrated Queries
Emma Rapoport
E. Cohen
Uri Stemmer
172
0
0
18 Jul 2025
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
B. Kulynych
Juan Felipe Gomez
G. Kaissis
Jamie Hayes
Borja Balle
Flavio du Pin Calmon
Jean Louis Raisaro
365
8
0
09 Jul 2025
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
Laplace Sample Information: Data Informativeness Through a Bayesian LensInternational Conference on Learning Representations (ICLR), 2025
Johannes Kaiser
Kristian Schwethelm
Daniel Rueckert
Georgios Kaissis
264
1
0
21 May 2025
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding
Daqian Shao
Thomas Kleine Buening
Marta Z. Kwiatkowska
CML
362
1
0
11 Feb 2025
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private
  Query Release and Adaptive Data Analysis
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data AnalysisSymposium on the Theory of Computing (STOC), 2024
Xin Lyu
Kunal Talwar
323
2
0
18 Dec 2024
The Cost of Replicability in Active Learning
The Cost of Replicability in Active Learning
Rupkatha Hira
Dominik Kau
Jessica Sorrell
190
1
0
12 Dec 2024
Information Density Bounds for Privacy
Information Density Bounds for Privacy
Sara Saeidian
Leonhard Grosse
Parastoo Sadeghi
Mikael Skoglund
T. Oechtering
248
2
0
01 Jul 2024
Privacy-Aware Randomized Quantization via Linear Programming
Privacy-Aware Randomized Quantization via Linear Programming
Zhongteng Cai
Xueru Zhang
Mohammad Mahdi Khalili
404
2
0
01 Jun 2024
Adaptive Data Analysis for Growing Data
Adaptive Data Analysis for Growing DataSocial Science Research Network (SSRN), 2020
Neil G. Marchant
Benjamin I. P. Rubinstein
310
1
0
22 May 2024
Near-Universally-Optimal Differentially Private Minimum Spanning Trees
Near-Universally-Optimal Differentially Private Minimum Spanning Trees
Richard Hladík
Jakub Tetek
249
3
0
23 Apr 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
Daniele Angioni
Christian Scano
Maura Pintor
Luca Oneto
Davide Anguita
Battista Biggio
Fabio Roli
AAML
406
7
0
27 Feb 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
555
3
0
08 Nov 2023
Bounded and Unbiased Composite Differential Privacy
Bounded and Unbiased Composite Differential PrivacyIEEE Symposium on Security and Privacy (S&P), 2023
Kai Zhang
Yanjun Zhang
Ruoxi Sun
Pei-Wei Tsai
M. Hassan
Xingliang Yuan
Minhui Xue
Jinjun Chen
277
50
0
04 Nov 2023
Adversarially Robust Distributed Count Tracking via Partial Differential
  Privacy
Adversarially Robust Distributed Count Tracking via Partial Differential PrivacyNeural Information Processing Systems (NeurIPS), 2023
Zhongzheng Xiong
Xiaoyi Zhu
Zengfeng Huang
213
2
0
01 Nov 2023
Initialization Matters: Privacy-Utility Analysis of Overparameterized
  Neural Networks
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural NetworksNeural Information Processing Systems (NeurIPS), 2023
Jiayuan Ye
Zhenyu Zhu
Fanghui Liu
Reza Shokri
Volkan Cevher
266
16
0
31 Oct 2023
Verification of Neural Networks Local Differential Classification
  Privacy
Verification of Neural Networks Local Differential Classification PrivacyInternational Conference on Verification, Model Checking and Abstract Interpretation (VMCAI), 2023
Roie Reshef
Anan Kabaha
Olga Seleznova
Dana Drachsler-Cohen
AAML
238
3
0
31 Oct 2023
Online Adaptive Mahalanobis Distance Estimation
Online Adaptive Mahalanobis Distance EstimationBigData Congress [Services Society] (BSS), 2023
Lianke Qin
Aravind Reddy
Zhao Song
445
2
0
02 Sep 2023
A unifying framework for differentially private quantum algorithms
A unifying framework for differentially private quantum algorithms
Armando Angrisani
Mina Doosti
E. Kashefi
FedML
336
16
0
10 Jul 2023
Generalization Guarantees via Algorithm-dependent Rademacher Complexity
Generalization Guarantees via Algorithm-dependent Rademacher ComplexityAnnual Conference Computational Learning Theory (COLT), 2023
Sarah Sachs
T. Erven
Liam Hodgkinson
Rajiv Khanna
Umut Simsekli
322
8
0
04 Jul 2023
Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not
  Preserving)
Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Yohan Beugin
Patrick McDaniel
343
14
0
06 Jun 2023
Seeding with Differentially Private Network Information
Seeding with Differentially Private Network Information
M. Rahimian
Fang-Yi Yu
Carlos Hurtado
309
6
0
26 May 2023
Adaptive Data Analysis in a Balanced Adversarial Model
Adaptive Data Analysis in a Balanced Adversarial ModelNeural Information Processing Systems (NeurIPS), 2023
Kobbi Nissim
Uri Stemmer
Eliad Tsfadia
FedML
278
4
0
24 May 2023
Statistical Indistinguishability of Learning Algorithms
Statistical Indistinguishability of Learning AlgorithmsInternational Conference on Machine Learning (ICML), 2023
Alkis Kalavasis
Amin Karbasi
Shay Moran
Grigoris Velegkas
231
20
0
23 May 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK
  Features
How Spurious Features Are Memorized: Precise Analysis for Random and NTK FeaturesInternational Conference on Machine Learning (ICML), 2023
Simone Bombari
Marco Mondelli
AAML
593
9
0
20 May 2023
Privacy Auditing with One (1) Training Run
Privacy Auditing with One (1) Training RunNeural Information Processing Systems (NeurIPS), 2023
Thomas Steinke
Milad Nasr
Matthew Jagielski
486
130
0
15 May 2023
A Polynomial Time, Pure Differentially Private Estimator for Binary
  Product Distributions
A Polynomial Time, Pure Differentially Private Estimator for Binary Product DistributionsInternational Conference on Algorithmic Learning Theory (ALT), 2023
Vikrant Singhal
634
10
0
13 Apr 2023
List and Certificate Complexities in Replicable Learning
List and Certificate Complexities in Replicable LearningNeural Information Processing Systems (NeurIPS), 2023
P. Dixon
A. Pavan
Jason Vander Woude
N. V. Vinodchandran
222
14
0
05 Apr 2023
Stability is Stable: Connections between Replicability, Privacy, and
  Adaptive Generalization
Stability is Stable: Connections between Replicability, Privacy, and Adaptive GeneralizationSymposium on the Theory of Computing (STOC), 2023
Mark Bun
Marco Gaboardi
Max Hopkins
R. Impagliazzo
Rex Lei
T. Pitassi
Satchit Sivakumar
Jessica Sorrell
283
46
0
22 Mar 2023
PRIMO: Private Regression in Multiple Outcomes
PRIMO: Private Regression in Multiple Outcomes
Seth Neel
382
0
0
07 Mar 2023
Streaming Algorithms for Learning with Experts: Deterministic Versus
  Robust
Streaming Algorithms for Learning with Experts: Deterministic Versus Robust
David P. Woodruff
Fred Zhang
Samson Zhou
238
6
0
03 Mar 2023
A Unifying Perspective on Multi-Calibration: Game Dynamics for
  Multi-Objective Learning
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective LearningNeural Information Processing Systems (NeurIPS), 2023
Nika Haghtalab
Michael I. Jordan
Eric Zhao
448
27
0
21 Feb 2023
Subsampling Suffices for Adaptive Data Analysis
Subsampling Suffices for Adaptive Data AnalysisSymposium on the Theory of Computing (STOC), 2023
Guy Blanc
347
15
0
17 Feb 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space
On Differential Privacy and Adaptive Data Analysis with Bounded SpaceIACR Cryptology ePrint Archive (IACR ePrint), 2023
Itai Dinur
Uri Stemmer
David P. Woodruff
Samson Zhou
361
23
0
11 Feb 2023
Relaxed Models for Adversarial Streaming: The Advice Model and the
  Bounded Interruptions Model
Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions ModelEmbedded Systems and Applications (ESA), 2023
Menachem Sadigurschi
M. Shechner
Uri Stemmer
AAML
240
0
0
22 Jan 2023
Generalized Private Selection and Testing with High Confidence
Generalized Private Selection and Testing with High ConfidenceInformation Technology Convergence and Services (ITCS), 2022
E. Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
369
7
0
22 Nov 2022
A Closer Look at the Calibration of Differentially Private Learners
A Closer Look at the Calibration of Differentially Private Learners
Hanlin Zhang
Xuechen Li
Prithviraj Sen
Salim Roukos
Tatsunori Hashimoto
288
6
0
15 Oct 2022
PAC Privacy: Automatic Privacy Measurement and Control of Data
  Processing
PAC Privacy: Automatic Privacy Measurement and Control of Data ProcessingAnnual International Cryptology Conference (CRYPTO), 2022
Hanshen Xiao
S. Devadas
396
26
0
07 Oct 2022
Stability and Generalization for Markov Chain Stochastic Gradient
  Methods
Stability and Generalization for Markov Chain Stochastic Gradient MethodsNeural Information Processing Systems (NeurIPS), 2022
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
349
22
0
16 Sep 2022
Multicalibrated Regression for Downstream Fairness
Multicalibrated Regression for Downstream FairnessAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Ira Globus-Harris
Varun Gupta
Christopher Jung
Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
292
13
0
15 Sep 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy GuaranteesInformation Technology Convergence and Services (ITCS), 2022
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
329
8
0
08 Sep 2022
Reconciling Individual Probability Forecasts
Reconciling Individual Probability ForecastsConference on Fairness, Accountability and Transparency (FAccT), 2022
Aaron Roth
A. Tolbert
S. Weinstein
246
22
0
04 Sep 2022
Valid Inference after Causal Discovery
Valid Inference after Causal DiscoveryJournal of the American Statistical Association (JASA), 2022
Paula Gradu
Tijana Zrnic
Yixin Wang
Michael I. Jordan
CML
459
17
0
11 Aug 2022
Improved Generalization Guarantees in Restricted Data Models
Improved Generalization Guarantees in Restricted Data ModelsSymposium on Foundations of Responsible Computing (FRC), 2022
Elbert Du
Cynthia Dwork
173
1
0
20 Jul 2022
Composition Theorems for Interactive Differential Privacy
Composition Theorems for Interactive Differential PrivacyNeural Information Processing Systems (NeurIPS), 2022
Xin Lyu
237
25
0
19 Jul 2022
High-Dimensional Private Empirical Risk Minimization by Greedy
  Coordinate Descent
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate DescentInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Paul Mangold
A. Bellet
Joseph Salmon
Marc Tommasi
552
6
0
04 Jul 2022
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