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Local Differential Privacy (LDP) protocols enable an untrusted data collector to perform privacy-preserving data analytics.
Handbook of mathematical functions: with formulas, graphs, and mathematical tables
Milton Abramowitz and Irene A Stegun · 1965
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Randomized response: A survey technique for eliminating evasive answer bias
Stanley L Warner · 1965
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Pricing via processing or combatting junk mail
Cynthia Dwork and Moni Naor · 1992
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Mining association rules between sets of items in large databases
Rakesh Agrawal, Tomasz Imieliński, and Arun Swami · 1993
Earlier work this paper cites.
Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
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Paragraph: Thwarting signature learning by training maliciously
James Newsome, Brad Karp, and Dawn Song · 2006
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Misleading worm signature generators using deliberate noise injection
Roberto Perdisci, David Dagon, Wenke Lee, Prahlad Fogla, and Monirul Sharif · 2006
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Sybilguard: defending against sybil attacks via social networks
Haifeng Yu, Haifeng Yu, Michael Kaminsky, Phillip B Gibbons, and Abraham Flaxman · 2006
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Exploiting machine learning to subvert your spam filter
Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D Joseph, Benjamin IP Rubinstein, Udam Saini, Charles A Sutton, J Doug Tygar, and Kai Xia · 2008
Earlier work this paper cites.
Sybilinfer: Detecting sybil nodes using social networks
George Danezis and Prateek Mittal · 2009
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Antidote: understanding and defending against poisoning of anomaly detectors
Benjamin IP Rubinstein, Blaine Nelson, Ling Huang, Anthony D Joseph, Shing-hon Lau, Satish Rao, Nina Taft, and J Doug Tygar · 2009
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Detecting spammers on social networks
Gianluca Stringhini, Christopher Kruegel, and Giovanni Vigna · 2010
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Adversarial machine learning
Ling Huang, Anthony D Joseph, Blaine Nelson, Benjamin IP Rubinstein, and J Doug Tygar · 2011
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Poisoning attacks against support vector machines
Battista Biggio, Blaine Nelson, and Pavel Laskov · 2012
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Local privacy and statistical minimax rates
John C Duchi, Michael I Jordan, and Martin J Wainwright · 2013
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Trafficking fraudulent accounts: The role of the underground market in twitter spam and abuse
Kurt Thomas, Damon McCoy, Chris Grier, Alek Kolcz, and Vern Paxson · 2013
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You are how you click: Clickstream analysis for sybil detection
Gang Wang, Tristan Konolige, Christo Wilson, Xiao Wang, Haitao Zheng, and Ben Y Zhao · 2013
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Uncovering large groups of active malicious accounts in online social networks
Qiang Cao, Xiaowei Yang, Jieqi Yu, and Christopher Palow · 2014
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Rappor: Randomized aggregatable privacy-preserving ordinal response
Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova · 2014
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Sybilbelief: A semi-supervised learning approach for structure-based sybil detection
Neil Zhenqiang Gong, Mario Frank, and Prateek Mittal · 2014
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Extremal mechanisms for local differential privacy
Peter Kairouz, Sewoong Oh, and Pramod Viswanath · 2014
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Systematic poisoning attacks on and defenses for machine learning in healthcare
Mehran Mozaffari-Kermani, Susmita Sur-Kolay, Anand Raghunathan, and Niraj K Jha · 2014
Earlier work this paper cites.
On the practicality of integrity attacks on document-level sentiment analysis
Andrew Newell, Rahul Potharaju, Luojie Xiang, and Cristina Nita-Rotaru · 2014
Earlier work this paper cites.
Man vs. machine: Practical adversarial detection of malicious crowdsourcing workers
Gang Wang, Tianyi Wang, Haitao Zheng, and Ben Y Zhao · 2014
Cited alongside, same era.
Local, private, efficient protocols for succinct histograms
Raef Bassily and Adam Smith · 2015
Cited alongside, same era.
Secure multi-party differential privacy
Peter Kairouz, Sewoong Oh, and Pramod Viswanath · 2015
Cited alongside, same era.
Using machine teaching to identify optimal training-set attacks on machine learners
Shike Mei and Xiaojin Zhu · 2015
Cited alongside, same era.
Data poisoning attacks against autoregressive models
Scott Alfeld, Xiaojin Zhu, and Paul Barford · 2016
Cited alongside, same era.
xxhash: Extremely fast hash algorithm
Yann Collet · 2016
Cited alongside, same era.
Poison frogs! targeted clean-label poisoning attacks on neural networks
Ali Shafahi, W Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, and Tom Goldstein · 2018
Later among the works it cites.
Locally differentially private frequent itemset mining
Tianhao Wang, Ninghui Li, and Somesh Jha · 2018
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Calm: Consistent adaptive local marginal for marginal release under local differential privacy
Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, and Jiming Chen · 2018
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https://cnn.it/2WINTKV
A hacker gained access to 100 million Capital One credit card applications and accounts · 2019
Closest in time.
https://reut.rs/2r6sMq3
In systemic breach, hackers steal millions of Bulgarians’ financial data · 2019
Closest in time.
http://bit.ly/336sddL
San francisco fire department calls for service · 2019
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Discrete distribution estimation under local privacy
Peter Kairouz, Keith Bonawitz, and Daniel Ramage · 2016
Cited alongside, same era.
Data poisoning attacks on factorization-based collaborative filtering
Bo Li, Yining Wang, Aarti Singh, and Yevgeniy Vorobeychik · 2016
Cited alongside, same era.
Heavy hitter estimation over set-valued data with local differential privacy
Zhan Qin, Yin Yang, Ting Yu, Issa Khalil, Xiaokui Xiao, and Kui Ren · 2016
Cited alongside, same era.
http://bit.ly/2PEHuPk
Equifax Announces Cybersecurity Incident Involving Consumer Information · 2017
Cited alongside, same era.
BLENDER: Enabling local search with a hybrid differential privacy model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, and Benjamin Livshits · 2017
Cited alongside, same era.
Practical locally private heavy hitters
Raef Bassily, Kobbi Nissim, Uri Stemmer, and Abhradeep Guha Thakurta · 2017
Cited alongside, same era.
Closest in time.
Manipulation attacks in local differential privacy
Albert Cheu, Adam Smith, and Jonathan Ullman · 2019
Closest in time.
Amplification by shuffling: From local to central differential privacy via anonymity
Úlfar Erlingsson, Vitaly Feldman, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, and Abhradeep Thakurta · 2019
Closest in time.
Badnets: Evaluating backdooring attacks on deep neural networks
Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2019
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Calibrate: Frequency estimation and heavy hitter identification with local differential privacy via incorporating prior knowledge
Jinyuan Jia and Neil Zhenqiang Gong · 2019
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How to (not) share a password: Privacy preserving protocols for finding heavy hitters with adversarial behavior
Moni Naor, Benny Pinkas, and Eyal Ronen · 2019
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Ipums usa: Version 9.0 [dataset]. minneapolis, mn: Ipums, 2019
Ruggles Steven, Flood Sarah, Goeken Ronald, Grover Josiah, Meyer Erin, Pacas Jose, and Sobek Matthew · 2019
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Attacking graph-based classification via manipulating the graph structure
Binghui Wang and Neil Zhenqiang Gong · 2019
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Graph-based security and privacy analytics via collective classification with joint weight learning and propagation
Binghui Wang, Jinyuan Jia, and Neil Zhenqiang Gong · 2019
Closest in time.
Answering multi-dimensional analytical queries under local differential privacy
Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, and Somesh Jha · 2019
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Locally differentially private heavy hitter identification
Tianhao Wang, Ninghui Li, and Somesh Jha · 2019
Closest in time.
Privkv: Key-value data collection with local differential privacy
Qingqing Ye, Haibo Hu, Xiaofeng Meng, and Huadi Zheng · 2019
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Detecting fake accounts in online social networks at the time of registrations
Dong Yuan, Yuanli Miao, Neil Zhenqiang Gong, Zheng Yang, Qi Li, Dawn Song, Qian Wang, and Xiao Liang · 2019
Closest in time.
Local model poisoning attacks to byzantine-robust federated learning
Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Gong · 2020
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Influence function based data poisoning attacks to top-n recommender systems
Minghong Fang, Neil Zhenqiang Gong, and Jia Liu · 2020
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Crypt ϵ \epsilon : Crypto-assisted differential privacy on untrusted servers
Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, and Somesh Jha · 2020
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Locally differentially private frequency estimation with consistency
Tianhao Wang, Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, and Ninghui Li · 2020
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Intrinsic certified robustness of bagging against data poisoning attacks
Jinyuan Jia, Xiaoyu Cao, and Neil Zhenqiang Gong · 2021
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