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Security system designers favor worst-case security metrics, such as those derived from differential privacy (DP), due to the strong guarantees they provide.
Timing attacks on implementations of diffie-hellman, rsa, dss, and other systems
Paul C. Kocher · 1996
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Euclidean distortion and the sparsest cut
Sanjeev Arora, James R. Lee, and Assaf Naor · 2005
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Introduction to modern cryptography
Mihir Bellare and Phillip Rogaway · 2005
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Differential privacy
Cynthia Dwork · 2006
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Our data, ourselves: Privacy via distributed noise generation
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, and Moni Naor · 2006
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Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank Mcsherry, Kobbi Nissim, and Adam Smith · 2006
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Language identification of encrypted voip traffic: Alejandra y roberto or alice and bob?
Charles V. Wright, Lucas Ballard, Fabian Monrose, and Gerald M. Masson · 2007
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On the Bayes risk in information-hiding protocols
Konstantinos Chatzikokolakis, Catuscia Palamidessi, and Prakash Panangaden · 2008
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Using subspace-based template attacks to compare and combine power and electromagnetic information leakages
François-Xavier Standaert and Cédric Archambeau · 2008
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Quantitative notions of leakage for one-try attacks
Christelle Braun, Konstantinos Chatzikokolakis, and Catuscia Palamidessi · 2009
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On the foundations of quantitative information flow
Geoffrey Smith · 2009
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Min-entropy leakage of channels in cascade
Barbara Espinoza and Geoffrey Smith · 2011
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Measuring information leakage using generalized gain functions
Mário S. Alvim, Konstantinos Chatzikokolakis, Catuscia Palamidessi, and Geoffrey Smith · 2012
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Peek-a-Boo, I Still See You: Why Efficient Traffic Analysis Countermeasures Fail
Kevin P. Dyer, Scott E. Coull, Thomas Ristenpart, and Thomas Shrimpton · 2012
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Automatic quantification of cache side-channels
Boris Köpf, Laurent Mauborgne, and Martín Ochoa · 2012
Cited alongside, same era.
Local privacy and statistical minimax rates
John C. Duchi, Michael I. Jordan, and Martin J. Wainwright · 2013
Cited alongside, same era.
Website fingerprinting
Tao Wang, Xiang Cai, and Ian Goldberg · 2013
Cited alongside, same era.
RAPPOR: randomized aggregatable privacy-preserving ordinal response
Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova · 2014
Cited alongside, same era.
A critical evaluation of website fingerprinting attacks
Marc Juarez, Sadia Afroz, Gunes Acar, Claudia Diaz, and Rachel Greenstadt · 2014
Cited alongside, same era.
On the information leakage of differentially-private mechanisms
Mário S. Alvim, Miguel E. Andrés, Konstantinos Chatzikokolakis, Pierpaolo Degano, and Catuscia Palamidessi · 2015
Cited alongside, same era.
An efficient approximation for point-set diameter in higher dimensions
Mahdi Imanparast, Seyed Naser Hashemi, and Ali Mohades · 2018
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Measuring information leakage in website fingerprinting attacks and defenses
Shuai Li, Huajun Guo, and Nicholas Hopper · 2018
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Toward distribution estimation under local differential privacy with small samples
Takao Murakami, Hideitsu Hino, and Jun Sakuma · 2018
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De-anonymization of mobility trajectories: Dissecting the gaps between theory and practice
Huandong Wang, Chen Gao, Yong Li, Gang Wang, Depeng Jin, and Jingbo Sun · 2018
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Privacy risk in machine learning: Analyzing the connection to overfitting
Samuel Yeom, Irene Giacomelli, Matt Fredrikson, and Somesh Jha · 2018
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Privacy risk in machine learning: Analyzing the connection to overfitting
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Model inversion attacks that exploit confidence information and basic countermeasures
Matt Fredrikson, Somesh Jha, and Thomas Ristenpart · 2015
Cited alongside, same era.
The curse of medium dimension for geometric problems in almost every norm
Roee David, Karthik C. S., and Bundit Laekhanukit · 2016
Cited alongside, same era.
k-fingerprinting: a Robust Scalable Website Fingerprinting Technique
Jamie Hayes and George Danezis · 2016
Cited alongside, same era.
Lower-cost ∈ \in -private information retrieval
Raphael R. Toledo, George Danezis, and Ian Goldberg · 2016
Cited alongside, same era.
Bayes, not naïve: Security bounds on website fingerprinting defenses
Giovanni Cherubin · 2017
Cited alongside, same era.
Website fingerprinting defenses at the application layer
Giovanni Cherubin, Jamie Hayes, and Marc Juarez · 2017
Cited alongside, same era.
Samuel Yeom, Irene Giacomelli, Matt Fredrikson, and Somesh Jha · 2018
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F-BLEAU: Fast black-box leakage estimation
Giovanni Cherubin, Kostantinos Chatzikokolakis, and Catuscia Palamidessi · 2019
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Lecture 2 - Lecture notes in Robustness in Machine Learning
Jerry Li · 2019
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Utility-optimized local differential privacy mechanisms for distribution estimation
Takao Murakami and Yusuke Kawamoto · 2019
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Differentially private learning does not bound membership inference
Thomas Humphries, Matthew Rafuse, Lindsey Tulloch, Simon Oya, Ian Goldberg, Urs Hengartner, and Florian Kerschbaum · 2020
Closest in time.
High precision open-world website fingerprinting
Tao Wang · 2020
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Extracting training data from large language models
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al · 2021
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Reconstructing training data with informed adversaries
Borja Balle, Giovanni Cherubin, and Jamie Hayes · 2022
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