Kobbi Nissim - RankMe

169 papers A* 43A 7B 7C 1Journal 92Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Bayesian Perspective on Memorization and Reconstruction. ITCS Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
2026	A*	`conf`	Differentially Private Quasi-Concave Optimization: Bypassing the Lower Bound and Application to Geometric Problems. SODA Kobbi Nissim, Eliad Tsfadia, Chao Yan
2026	J	`jnl`	Protecting the Undeleted in Machine Unlearning. CoRR Aloni Cohen, Refael Kohen, Kobbi Nissim, Uri Stemmer
2025	J	`jnl`	Bayesian Perspective on Memorization and Reconstruction. CoRR Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
2025	A	`conf`	Data Reconstruction: When You See It and When You Don't. ITCS Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer, Eliad Tsfadia
2025	J	`jnl`	Differentially Private Quasi-Concave Optimization: Bypassing the Lower Bound and Application to Geometric Problems. CoRR Kobbi Nissim, Eliad Tsfadia, Chao Yan
2025	—	`conf`	On the Rival Nature of Data: Tech and Policy Implications. CSLAW Ayelet Gordon-Tapiero, Katrina Ligett, Kobbi Nissim
2024	A*	`conf`	Credit Attribution and Stable Compression. NeurIPS Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju
2024	J	`jnl`	Credit Attribution and Stable Compression. CoRR Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju
2024	J	`jnl`	Data Reconstruction: When You See It and When You Don't. CoRR Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer, Eliad Tsfadia
2024	C	`conf`	From Isolation to Identification. PSD Giuseppe D'Acquisto, Aloni Cohen, Maurizio Naldi, Kobbi Nissim
2024	J	`jnl`	Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. J. Priv. Confidentiality John M. Abowd, Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Jerome P. Reiter, Aleksandra B. Slavkovic, Lars Vilhuber
2024	J	`jnl`	Properties of Effective Information Anonymity Regulations. CoRR Aloni Cohen, Micah Altman, Francesca Falzon, Evangelina Anna Markatou, Kobbi Nissim
2023	A*	`conf`	Adaptive Data Analysis in a Balanced Adversarial Model. NeurIPS Kobbi Nissim, Uri Stemmer, Eliad Tsfadia
2023	J	`jnl`	Adaptive Data Analysis in a Balanced Adversarial Model. CoRR Kobbi Nissim, Uri Stemmer, Eliad Tsfadia
2023	A*	`conf`	Black-Box Differential Privacy for Interactive ML. NeurIPS Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer
2023	J	`jnl`	Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures. Proc. VLDB Endow. Lina Qiu, Georgios Kellaris, Nikos Mamoulis, Kobbi Nissim, George Kollios
2023	J	`jnl`	On Differentially Private Online Predictions. CoRR Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer
2023	A*	`conf`	Private Everlasting Prediction. NeurIPS Moni Naor, Kobbi Nissim, Uri Stemmer, Chao Yan
2023	J	`jnl`	Private Everlasting Prediction. CoRR Moni Naor, Kobbi Nissim, Uri Stemmer, Chao Yan
2023	J	`jnl`	We Need to Focus on How Our Data Is Used, Not Just How It Is Shared. Commun. ACM Katrina Ligett, Kobbi Nissim
2022	A*	`conf`	Dynamic algorithms against an adaptive adversary: generic constructions and lower bounds. STOC Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer
2022	J	`jnl`	The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model. J. Priv. Confidentiality Kobbi Nissim, Chao Yan
2021	J	`jnl`	Algorithmic Stability for Adaptive Data Analysis. SIAM J. Comput. Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman
2021	J	`jnl`	Computational Two-Party Correlation: A Dichotomy for Key-Agreement Protocols. CoRR Iftach Haitner, Kobbi Nissim, Eran Omri, Ronen Shaltiel, Jad Silbak
2021	J	`jnl`	Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds. CoRR Amos Beimel, Haim Kaplan, Yishay Mansour, Kobbi Nissim, Thatchaphol Saranurak, Uri Stemmer
2021	—	`conf`	Foundations for Robust Data Protection: Co-designing Law and Computer Science. TPS-ISA Kobbi Nissim, Alexandra Wood
2021	J	`jnl`	Learning Privately with Labeled and Unlabeled Examples. Algorithmica Amos Beimel, Kobbi Nissim, Uri Stemmer
2021	A*	`conf`	Privacy: From Database Reconstruction to Legal Theorems. PODS Kobbi Nissim
2021	—	`conf`	Separating Adaptive Streaming from Oblivious Streaming Using the Bounded Storage Model. CRYPTO (3) Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
2021	J	`jnl`	Separating Adaptive Streaming from Oblivious Streaming. CoRR Haim Kaplan, Yishay Mansour, Kobbi Nissim, Uri Stemmer
2021	J	`jnl`	The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model. CoRR Kobbi Nissim, Chao Yan
2021	—	`ed.`	Theory of Cryptography - 19th International Conference, TCC 2021, Raleigh, NC, USA, November 8-11, 2021, Proceedings, Part I TCC (1) Kobbi Nissim, Brent Waters
2021	—	`ed.`	Theory of Cryptography - 19th International Conference, TCC 2021, Raleigh, NC, USA, November 8-11, 2021, Proceedings, Part II TCC (2) Kobbi Nissim, Brent Waters
2021	—	`ed.`	Theory of Cryptography - 19th International Conference, TCC 2021, Raleigh, NC, USA, November 8-11, 2021, Proceedings, Part III TCC (3) Kobbi Nissim, Brent Waters
2021	A*	`conf`	εpsolute: Efficiently Querying Databases While Providing Differential Privacy. CCS Dmytro Bogatov, Georgios Kellaris, George Kollios, Kobbi Nissim, Adam O'Neill
2020	J	`jnl`	Computational Two-Party Correlation: A Dichotomy for Key-Agreement Protocols. SIAM J. Comput. Iftach Haitner, Kobbi Nissim, Eran Omri, Ronen Shaltiel, Jad Silbak
2020	J	`jnl`	Linear Program Reconstruction in Practice. J. Priv. Confidentiality Aloni Cohen, Kobbi Nissim
2020	J	`jnl`	Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry. CoRR Sujata Banerjee, Yiling Chen, Kobbi Nissim, David C. Parkes, Katie A. Siek, Lauren Wilcox
2020	J	`jnl`	On Privacy in the Age of COVID-19. J. Priv. Confidentiality Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Lars Vilhuber
2020	—	`conf`	On the Round Complexity of the Shuffle Model. TCC (2) Amos Beimel, Iftach Haitner, Kobbi Nissim, Uri Stemmer
2020	J	`jnl`	On the Round Complexity of the Shuffle Model. CoRR Amos Beimel, Iftach Haitner, Kobbi Nissim, Uri Stemmer
2020	J	`jnl`	On the Round Complexity of the Shuffle Model. IACR Cryptol. ePrint Arch. Amos Beimel, Iftach Haitner, Kobbi Nissim, Uri Stemmer
2020	J	`jnl`	Practical Locally Private Heavy Hitters. J. Mach. Learn. Res. Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta
2020	A*	`conf`	Private Summation in the Multi-Message Shuffle Model. CCS Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2020	J	`jnl`	Private Summation in the Multi-Message Shuffle Model. CoRR Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2020	A*	`conf`	The Complexity of Verifying Loop-Free Programs as Differentially Private. ICALP Marco Gaboardi, Kobbi Nissim, David Purser
2020	A	`conf`	The Power of Synergy in Differential Privacy: Combining a Small Curator with Local Randomizers. ITC Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
2020	J	`jnl`	Towards formalizing the GDPR's notion of singling out. Proc. Natl. Acad. Sci. USA Aloni Cohen, Kobbi Nissim
2019	J	`jnl`	Characterizing the Sample Complexity of Pure Private Learners. J. Mach. Learn. Res. Amos Beimel, Kobbi Nissim, Uri Stemmer
2019	J	`jnl`	Concentration Bounds for High Sensitivity Functions Through Differential Privacy. J. Priv. Confidentiality Uri Stemmer, Kobbi Nissim
2019	J	`jnl`	Differentially Private Summation with Multi-Message Shuffling. CoRR Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2019	—	`conf`	Exploring Differential Obliviousness. APPROX-RANDOM Amos Beimel, Kobbi Nissim, Mohammad Zaheri
2019	J	`jnl`	Exploring Differential Obliviousness. CoRR Amos Beimel, Kobbi Nissim, Mohammad Zaheri
2019	J	`jnl`	Improved Summation from Shuffling. CoRR Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2019	A*	`conf`	Private Center Points and Learning of Halfspaces. COLT Amos Beimel, Shay Moran, Kobbi Nissim, Uri Stemmer
2019	J	`jnl`	Private Center Points and Learning of Halfspaces. CoRR Amos Beimel, Shay Moran, Kobbi Nissim, Uri Stemmer
2019	J	`jnl`	Simultaneous Private Learning of Multiple Concepts. J. Mach. Learn. Res. Mark Bun, Kobbi Nissim, Uri Stemmer
2019	—	`conf`	Surveillance and privacy in the public and private sectors: panel. CSLAW Stefan Savage, Ian Levy, Kobbi Nissim, Paul Ohm, Carmela Troncoso, Nicole Wong
2019	J	`jnl`	The Complexity of Verifying Circuits as Differentially Private. CoRR Marco Gaboardi, Kobbi Nissim, David Purser
2019	—	`conf`	The Privacy Blanket of the Shuffle Model. CRYPTO (2) Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2019	J	`jnl`	The Privacy Blanket of the Shuffle Model. CoRR Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2019	J	`jnl`	The power of synergy in differential privacy: Combining a small curator with local randomizers. CoRR Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, Uri Stemmer
2019	J	`jnl`	Towards Formalizing the GDPR's Notion of Singling Out. CoRR Aloni Cohen, Kobbi Nissim
2018	B	`conf`	Clustering Algorithms for the Centralized and Local Models. ALT Kobbi Nissim, Uri Stemmer
2018	J	`jnl`	Computational Two-Party Correlation. Electron. Colloquium Comput. Complex. Iftach Haitner, Kobbi Nissim, Eran Omri, Ronen Shaltiel, Jad Silbak
2018	A*	`conf`	Computational Two-Party Correlation: A Dichotomy for Key-Agreement Protocols. FOCS Iftach Haitner, Kobbi Nissim, Eran Omri, Ronen Shaltiel, Jad Silbak
2018	J	`jnl`	Linear Program Reconstruction in Practice. CoRR Aloni Cohen, Kobbi Nissim
2018	J	`jnl`	Segmentation, Incentives and Privacy. CoRR Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
2018	J	`jnl`	Segmentation, Incentives, and Privacy. Math. Oper. Res. Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
2018	A*	`conf`	The Limits of Post-Selection Generalization. NeurIPS Jonathan R. Ullman, Adam D. Smith, Kobbi Nissim, Uri Stemmer, Thomas Steinke
2018	J	`jnl`	The Limits of Post-Selection Generalization. CoRR Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman
2017	J	`jnl`	Accessing Data while Preserving Privacy. CoRR Georgios Kellaris, George Kollios, Kobbi Nissim, Adam O'Neill
2017	J	`jnl`	Clustering Algorithms for the Centralized and Local Models. CoRR Kobbi Nissim, Uri Stemmer
2017	J	`jnl`	Concentration Bounds for High Sensitivity Functions Through Differential Privacy. CoRR Kobbi Nissim, Uri Stemmer
2017	—	`conf`	Practical Locally Private Heavy Hitters. NIPS Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Guha Thakurta
2017	J	`jnl`	Practical Locally Private Heavy Hitters. CoRR Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta
2017	A*	`conf`	Private Incremental Regression. PODS Shiva Prasad Kasiviswanathan, Kobbi Nissim, Hongxia Jin
2017	J	`jnl`	Private Incremental Regression. CoRR Shiva Prasad Kasiviswanathan, Kobbi Nissim, Hongxia Jin
2016	A*	`conf`	Adaptive Learning with Robust Generalization Guarantees. COLT Rachel Cummings, Katrina Ligett, Kobbi Nissim, Aaron Roth, Zhiwei Steven Wu
2016	J	`jnl`	Adaptive Learning with Robust Generalization Guarantees. CoRR Rachel Cummings, Katrina Ligett, Kobbi Nissim, Aaron Roth, Zhiwei Steven Wu
2016	A*	`conf`	Algorithmic stability for adaptive data analysis. STOC Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman
2016	J	`jnl`	Calibrating Noise to Sensitivity in Private Data Analysis. J. Priv. Confidentiality Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith
2016	J	`jnl`	Efficient Set Intersection with Simulation-Based Security. J. Cryptol. Michael J. Freedman, Carmit Hazay, Kobbi Nissim, Benny Pinkas
2016	A*	`conf`	Generic Attacks on Secure Outsourced Databases. CCS Georgios Kellaris, George Kollios, Kobbi Nissim, Adam O'Neill
2016	A*	`conf`	Locating a Small Cluster Privately. PODS Kobbi Nissim, Uri Stemmer, Salil P. Vadhan
2016	J	`jnl`	Locating a Small Cluster Privately. CoRR Kobbi Nissim, Uri Stemmer, Salil P. Vadhan
2016	—	`ch.`	Mechanism Design and Differential Privacy. Encyclopedia of Algorithms Kobbi Nissim, David Xiao
2016	J	`jnl`	PSI (Ψ): a Private data Sharing Interface. CoRR Marco Gaboardi, James Honaker, Gary King, Kobbi Nissim, Jonathan R. Ullman, Salil P. Vadhan
2016	J	`jnl`	Private Learning and Sanitization: Pure vs. Approximate Differential Privacy. Theory Comput. Amos Beimel, Kobbi Nissim, Uri Stemmer
2016	A	`conf`	Simultaneous Private Learning of Multiple Concepts. ITCS Mark Bun, Kobbi Nissim, Uri Stemmer
2015	J	`jnl`	Algorithmic Stability for Adaptive Data Analysis. CoRR Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman
2015	A*	`conf`	Differentially Private Release and Learning of Threshold Functions. FOCS Mark Bun, Kobbi Nissim, Uri Stemmer, Salil P. Vadhan
2015	J	`jnl`	Differentially Private Release and Learning of Threshold Functions. CoRR Mark Bun, Kobbi Nissim, Uri Stemmer, Salil P. Vadhan
2015	A*	`conf`	Fair Information Sharing for Treasure Hunting. AAAI Yiling Chen, Kobbi Nissim, Bo Waggoner
2015	A*	`conf`	GRECS: Graph Encryption for Approximate Shortest Distance Queries. CCS Xianrui Meng, Seny Kamara, Kobbi Nissim, George Kollios
2015	J	`jnl`	GRECS: Graph Encryption for Approximate Shortest Distance Queries. IACR Cryptol. ePrint Arch. Xianrui Meng, Seny Kamara, Kobbi Nissim, George Kollios
2015	A*	`conf`	Learning Privately with Labeled and Unlabeled Examples. SODA Amos Beimel, Kobbi Nissim, Uri Stemmer
2015	J	`jnl`	Simultaneous Private Learning of Multiple Concepts. CoRR Mark Bun, Kobbi Nissim, Uri Stemmer
2014	J	`jnl`	Bounds on the sample complexity for private learning and private data release. Mach. Learn. Amos Beimel, Hai Brenner, Shiva Prasad Kasiviswanathan, Kobbi Nissim
2014	J	`jnl`	Characterizing the Sample Complexity of Private Learners. CoRR Amos Beimel, Kobbi Nissim, Uri Stemmer
2014	J	`jnl`	Impossibility of Differentially Private Universally Optimal Mechanisms. SIAM J. Comput. Hai Brenner, Kobbi Nissim
2014	J	`jnl`	Learning Privately with Labeled and Unlabeled Examples. CoRR Amos Beimel, Kobbi Nissim, Uri Stemmer
2014	J	`jnl`	Private Learning and Sanitization: Pure vs. Approximate Differential Privacy. CoRR Amos Beimel, Kobbi Nissim, Uri Stemmer
2014	J	`jnl`	Redrawing the Boundaries on Purchasing Data from Privacy-Sensitive Individuals. CoRR Kobbi Nissim, Salil P. Vadhan, David Xiao
2014	A	`conf`	Redrawing the boundaries on purchasing data from privacy-sensitive individuals. ITCS Kobbi Nissim, Salil P. Vadhan, David Xiao
2013	B	`conf`	Analyzing Graphs with Node Differential Privacy. TCC Shiva Prasad Kasiviswanathan, Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith
2013	J	`jnl`	Attacks on statistical databases: The highly noisy case. Inf. Process. Lett. Alexander Kantor, Kobbi Nissim
2013	A	`conf`	Characterizing the sample complexity of private learners. ITCS Amos Beimel, Kobbi Nissim, Uri Stemmer
2013	J	`jnl`	Denials leak information: Simulatable auditing. J. Comput. Syst. Sci. Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim
2013	—	`conf`	Hiding the Input-Size in Secure Two-Party Computation. ASIACRYPT (2) Yehuda Lindell, Kobbi Nissim, Claudio Orlandi
2013	—	`conf`	Private Learning and Sanitization: Pure vs. Approximate Differential Privacy. APPROX-RANDOM Amos Beimel, Kobbi Nissim, Uri Stemmer
2012	A	`conf`	Approximately optimal mechanism design via differential privacy. ITCS Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
2012	J	`jnl`	Efficient Set Operations in the Presence of Malicious Adversaries. J. Cryptol. Carmit Hazay, Kobbi Nissim
2012	J	`jnl`	Hiding the Input-Size in Secure Two-Party Computation. IACR Cryptol. ePrint Arch. Yehuda Lindell, Kobbi Nissim, Claudio Orlandi
2012	A*	`conf`	Privacy-aware mechanism design. EC Kobbi Nissim, Claudio Orlandi, Rann Smorodinsky
2011	J	`jnl`	Distributed Private Data Analysis: On Simultaneously Solving How and What CoRR Amos Beimel, Kobbi Nissim, Eran Omri
2011	J	`jnl`	Privacy-Aware Mechanism Design CoRR Kobbi Nissim, Claudio Orlandi, Rann Smorodinsky
2011	J	`jnl`	What Can We Learn Privately? SIAM J. Comput. Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith
2010	J	`jnl`	Approximately Optimal Mechanism Design via Differential Privacy CoRR Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
2010	B	`conf`	Bounds on the Sample Complexity for Private Learning and Private Data Release. TCC Amos Beimel, Shiva Prasad Kasiviswanathan, Kobbi Nissim
2010	—	`conf`	Efficient Set Operations in the Presence of Malicious Adversaries. Public Key Cryptography Carmit Hazay, Kobbi Nissim
2010	J	`jnl`	How Should We Solve Search Problems Privately? J. Cryptol. Amos Beimel, Tal Malkin, Kobbi Nissim, Enav Weinreb
2010	J	`jnl`	Impossibility of Differentially Private Universally Optimal Mechanisms CoRR Hai Brenner, Kobbi Nissim
2010	A*	`conf`	Impossibility of Differentially Private Universally Optimal Mechanisms. FOCS Hai Brenner, Kobbi Nissim
2009	J	`jnl`	Efficient Set Operations in the Presence of Malicious Adversaries. IACR Cryptol. ePrint Arch. Carmit Hazay, Kobbi Nissim
2009	J	`jnl`	First Issue Editorial. J. Priv. Confidentiality John M. Abowd, Kobbi Nissim, Chris J. Skinner
2009	J	`jnl`	Private Approximation of Clustering and Vertex Cover. Comput. Complex. Amos Beimel, Renen Hallak, Kobbi Nissim
2009	A*	`conf`	Private coresets. STOC Dan Feldman, Amos Fiat, Haim Kaplan, Kobbi Nissim
2008	A*	`conf`	Distributed Private Data Analysis: Simultaneously Solving How and What. CRYPTO Amos Beimel, Kobbi Nissim, Eran Omri
2008	J	`jnl`	Private Approximation of Search Problems. SIAM J. Comput. Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb
2008	—	`ch.`	Private Data Analysis via Output Perturbation - Privacy-Preserving Data Mining Kobbi Nissim
2008	A*	`conf`	What Can We Learn Privately? FOCS Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith
2008	J	`jnl`	What Can We Learn Privately? CoRR Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith
2007	J	`jnl`	Communication vs. Computation. Comput. Complex. Prahladh Harsha, Yuval Ishai, Joe Kilian, Kobbi Nissim, Srinivasan Venkatesh
2007	A*	`conf`	How Should We Solve Search Problems Privately? CRYPTO Amos Beimel, Tal Malkin, Kobbi Nissim, Enav Weinreb
2007	B	`conf`	Private Approximation of Clustering and Vertex Cover. TCC Amos Beimel, Renen Hallak, Kobbi Nissim
2007	A*	`conf`	Smooth sensitivity and sampling in private data analysis. STOC Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith
2006	B	`conf`	Calibrating Noise to Sensitivity in Private Data Analysis. TCC Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith
2006	B	`conf`	Communication Efficient Secure Linear Algebra. TCC Kobbi Nissim, Enav Weinreb
2006	J	`jnl`	Hard Instances of the Constrained Discrete Logarithm Problem CoRR Ilya Mironov, Anton Mityagin, Kobbi Nissim
2006	—	`conf`	Hard Instances of the Constrained Discrete Logarithm Problem. ANTS Ilya Mironov, Anton Mityagin, Kobbi Nissim
2006	J	`jnl`	Hard Instances of the Constrained Discrete Logarithm Problem. IACR Cryptol. ePrint Arch. Ilya Mironov, Anton Mityagin, Kobbi Nissim
2006	A*	`conf`	Private approximation of search problems. STOC Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb
2006	J	`jnl`	Secure multiparty computation of approximations. ACM Trans. Algorithms Joan Feigenbaum, Yuval Ishai, Tal Malkin, Kobbi Nissim, Martin J. Strauss, Rebecca N. Wright
2005	B	`conf`	Evaluating 2-DNF Formulas on Ciphertexts. TCC Dan Boneh, Eu-Jin Goh, Kobbi Nissim
2005	A*	`conf`	Practical privacy: the SuLQ framework. PODS Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim
2005	J	`jnl`	Private Approximation of Search Problems Electron. Colloquium Comput. Complex. Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb
2005	A*	`conf`	Simulatable auditing. PODS Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim
2004	A*	`conf`	Communication Versus Computation. ICALP Prahladh Harsha, Yuval Ishai, Joe Kilian, Kobbi Nissim, Srinivasan Venkatesh
2004	A*	`conf`	Efficient Private Matching and Set Intersection. EUROCRYPT Michael J. Freedman, Kobbi Nissim, Benny Pinkas
2004	A*	`conf`	Privacy-Preserving Datamining on Vertically Partitioned Databases. CRYPTO Cynthia Dwork, Kobbi Nissim
2003	A*	`conf`	Extending Oblivious Transfers Efficiently. CRYPTO Yuval Ishai, Joe Kilian, Kobbi Nissim, Erez Petrank
2003	J	`jnl`	On Cutting a Few Vertices from a Graph. Discret. Appl. Math. Uriel Feige, Robert Krauthgamer, Kobbi Nissim
2003	A*	`conf`	Revealing information while preserving privacy. PODS Irit Dinur, Kobbi Nissim
2001	J	`jnl`	Communication Complexity and Secure Function Evaluation CoRR Moni Naor, Kobbi Nissim
2001	J	`jnl`	Communication Complexity and Secure Function Evaluation Electron. Colloquium Comput. Complex. Moni Naor, Kobbi Nissim
2001	J	`jnl`	Communication Complexity and Secure Function Evaluation. IACR Cryptol. ePrint Arch. Moni Naor, Kobbi Nissim
2001	A*	`conf`	Communication preserving protocols for secure function evaluation. STOC Moni Naor, Kobbi Nissim
2001	A*	`conf`	Private approximation of NP-hard functions. STOC Shai Halevi, Robert Krauthgamer, Eyal Kushilevitz, Kobbi Nissim
2001	A*	`conf`	Secure Multiparty Computation of Approximations. ICALP Joan Feigenbaum, Yuval Ishai, Tal Malkin, Kobbi Nissim, Martin Strauss, Rebecca N. Wright
2001	J	`jnl`	Secure Multiparty Computation of Approximations. IACR Cryptol. ePrint Arch. Joan Feigenbaum, Yuval Ishai, Tal Malkin, Kobbi Nissim, Martin Strauss, Rebecca N. Wright
2000	A*	`conf`	Approximating the minimum bisection size (extended abstract). STOC Uriel Feige, Robert Krauthgamer, Kobbi Nissim
2000	J	`jnl`	Certificate revocation and certificate update. IEEE J. Sel. Areas Commun. Moni Naor, Kobbi Nissim
2000	—	`conf`	On the hardness of approximating APPROX Uriel Feige, Michael Langberg, Kobbi Nissim
1999	A*	`conf`	Efficient Communication-Storage Tradeoffs for Multicast Encryption. EUROCRYPT Ran Canetti, Tal Malkin, Kobbi Nissim
1999	—	`conf`	Firmato: A Novel Firewall Management Toolkit. S&P Yair Bartal, Alain J. Mayer, Kobbi Nissim, Avishai Wool
1999	J	`jnl`	On the Security of Pay-per-Click and Other Web Advertising Schemes. Comput. Networks Vinod Anupam, Alain J. Mayer, Kobbi Nissim, Benny Pinkas, Michael K. Reiter
1998	A*	`conf`	Certificate Revocation and Certificate Update. USENIX Security Symposium Kobbi Nissim, Moni Naor