Does Prompt-Tuning Language Model Ensure Privacy?
Shangyu Xie, Wei Dai, Esha Ghosh, Sambuddha Roy, Dan Schwartz, Kim Laine
April 2023
Kim Laine
Chercheur principal
Papiers de Collaboration
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Understanding People’s Concerns and Attitudes Toward Smart Cities
Pardis Emami-Naeini, Joseph Breda, Wei Dai, Tadayoshi Kohno, Kim Laine, Shwetak Patel, Franziska Roesner
April 2023
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UN Handbook on Privacy-Preserving Computation Techniques
David W. Archer, Borja de Balle Pigem, Dan Bogdanov, Mark Craddock, Adria Gascon, Ronald Jansen, Matjaž Jug, Kim Laine, Robert McLellan, Olga Ohrimenko, Mariana Raykova, Andrew Trask, Simon Wardley
January 2023
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Protecting Privacy through Homomorphic Encryption
Kristin Lauter, Wei Dai, Kim Laine
Published by Springer Cham | December 2021
Rédacteur(s) en chef: Kristin Lauter, Wei Dai, Kim Laine
ISBN: 978-3-030-77287-1
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EVA Improved: Compiler and Extension Library for CKKS
Sangeeta Chowdhary, Wei Dai, Kim Laine, Olli Saarikivi
Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC '21) | November 2021
-
Precio: Private Aggregate Measurement via Oblivious Shuffling
Erik Anderson, Melissa Chase, Betül Durak, Kim Laine, Chenkai Weng
November 2021
-
Labeled PSI from homomorphic encryption with reduced computation and communication
Kelong Cong, Radames Cruz Moreno, Mariana Botelho da Gama, Wei Dai, Ilia Iliashenko, Kim Laine, Michael Rosenberg
2021 ACM SIGSAC Conference on Computer and Communications Security | November 2021
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Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation
Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt
CHI '21 | January 2021
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Privacy Preserving Phishing WebPage Classification Via Fully Homomorphic encryption
IEEE ICASSP | June 2020
-
Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption
Edward J. Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, Jack W. Stokes
International Conference on Acoustics, Speech, and Signal Processing | May 2020
-
HEAX: An Architecture for Computing on Encrypted Data
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
2020 Architectural Support for Programming Languages and Operating Systems | March 2020
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-
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EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madan Musuvathi
PLDI 2020 | December 2019
-
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin Lauter, Farinaz Koushanfar
USENIX Security | August 2019
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CHET: An Optimizing Compiler for Fully-Homomorphic Neural-Network Inferencing
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz
PLDI 2019 | June 2019
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Labeled PSI from Fully Homomorphic Encryption with Malicious Security
Hao Chen, Zhicong Huang, Kim Laine, Peter Rindal
ACM SIGSAC Conference on Computer and Communications Security | October 2018
-
Logistic regression over encrypted data from fully homomorphic encryption
Hao Chen, Ran Gilad-Bachrach, Kyoohyung Han, Zhicong Huang, Amir Jalali, Kim Laine, Kristin Lauter
BMC Medical Genomics | October 2018, Vol 11(4)
-
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
October 2018
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PIR with compressed queries and amortized computation
Sebastian Angel, Hao Chen, Kim Laine, Srinath Setty
IEEE Symposium on Security and Privacy, S&P (Oakland) 2018 | April 2018
-
High-Precision Arithmetic in Homomorphic Encryption
Kim Laine, Hao Chen, Rachel Player, Yuhou Xia
Topics in Cryptology – CT-RSA 2018. CT-RSA 2018 | March 2018
ISBN: 978-3-319-76952-3
Lecture Notes in Computer Science
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-
-
Fast Private Set Intersection from Homomorphic Encryption
Hao Chen, Kim Laine, Peter Rindal
CCS '17 Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security | October 2017
ISBN: 978-1-4503-4946-8
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Private queries on encrypted genomic data
Kim Laine, Kristin Lauter, Hao Chen, Peter Rindal, Gizem S. Çetin, Yuhou Xia
iDASH Privacy and Security Workshop 2016 | July 2017
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Secure Data Exchange: A Marketplace in the Cloud
Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Peter Rindal, Mike Rosulek
MSR-TR-2016-11 | June 2016
-
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2016-3 | February 2016
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Manual for Using Homomorphic Encryption for Bioinformatics
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2015-87 | November 2015
-
Key Recovery for LWE in Polynomial Time
Kim Laine, Kristin Lauter
IACR Cryptology ePrint Archive | October 2015
-
Key Recovery for LWE in Polynomial Time
Kim Laine, Kristin Lauter
March 2015
-
-
-
Does Prompt-Tuning Language Model Ensure Privacy?
Shangyu Xie, Wei Dai, Esha Ghosh, Sambuddha Roy, Dan Schwartz, Kim Laine
April 2023
-
Understanding People’s Concerns and Attitudes Toward Smart Cities
Pardis Emami-Naeini, Joseph Breda, Wei Dai, Tadayoshi Kohno, Kim Laine, Shwetak Patel, Franziska Roesner
April 2023
-
UN Handbook on Privacy-Preserving Computation Techniques
David W. Archer, Borja de Balle Pigem, Dan Bogdanov, Mark Craddock, Adria Gascon, Ronald Jansen, Matjaž Jug, Kim Laine, Robert McLellan, Olga Ohrimenko, Mariana Raykova, Andrew Trask, Simon Wardley
January 2023
-
Protecting Privacy through Homomorphic Encryption
Kristin Lauter, Wei Dai, Kim Laine
Published by Springer Cham | December 2021
Rédacteur(s) en chef: Kristin Lauter, Wei Dai, Kim Laine
ISBN: 978-3-030-77287-1
-
EVA Improved: Compiler and Extension Library for CKKS
Sangeeta Chowdhary, Wei Dai, Kim Laine, Olli Saarikivi
Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC '21) | November 2021
-
Precio: Private Aggregate Measurement via Oblivious Shuffling
Erik Anderson, Melissa Chase, Betül Durak, Kim Laine, Chenkai Weng
November 2021
-
Labeled PSI from homomorphic encryption with reduced computation and communication
Kelong Cong, Radames Cruz Moreno, Mariana Botelho da Gama, Wei Dai, Ilia Iliashenko, Kim Laine, Michael Rosenberg
2021 ACM SIGSAC Conference on Computer and Communications Security | November 2021
-
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation
Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt
CHI '21 | January 2021
-
Privacy Preserving Phishing WebPage Classification Via Fully Homomorphic encryption
IEEE ICASSP | June 2020
-
Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption
Edward J. Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, Jack W. Stokes
International Conference on Acoustics, Speech, and Signal Processing | May 2020
-
HEAX: An Architecture for Computing on Encrypted Data
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
2020 Architectural Support for Programming Languages and Operating Systems | March 2020
-
EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madan Musuvathi
PLDI 2020 | December 2019
-
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin Lauter, Farinaz Koushanfar
USENIX Security | August 2019
-
CHET: An Optimizing Compiler for Fully-Homomorphic Neural-Network Inferencing
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz
PLDI 2019 | June 2019
-
Labeled PSI from Fully Homomorphic Encryption with Malicious Security
Hao Chen, Zhicong Huang, Kim Laine, Peter Rindal
ACM SIGSAC Conference on Computer and Communications Security | October 2018
-
Logistic regression over encrypted data from fully homomorphic encryption
Hao Chen, Ran Gilad-Bachrach, Kyoohyung Han, Zhicong Huang, Amir Jalali, Kim Laine, Kristin Lauter
BMC Medical Genomics | October 2018, Vol 11(4)
-
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
October 2018
-
PIR with compressed queries and amortized computation
Sebastian Angel, Hao Chen, Kim Laine, Srinath Setty
IEEE Symposium on Security and Privacy, S&P (Oakland) 2018 | April 2018
-
High-Precision Arithmetic in Homomorphic Encryption
Kim Laine, Hao Chen, Rachel Player, Yuhou Xia
Topics in Cryptology – CT-RSA 2018. CT-RSA 2018 | March 2018
ISBN: 978-3-319-76952-3
Lecture Notes in Computer Science
-
Fast Private Set Intersection from Homomorphic Encryption
Hao Chen, Kim Laine, Peter Rindal
CCS '17 Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security | October 2017
ISBN: 978-1-4503-4946-8
-
Private queries on encrypted genomic data
Kim Laine, Kristin Lauter, Hao Chen, Peter Rindal, Gizem S. Çetin, Yuhou Xia
iDASH Privacy and Security Workshop 2016 | July 2017
-
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2016-3 | February 2016
-
Manual for Using Homomorphic Encryption for Bioinformatics
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2015-87 | November 2015
-
Key Recovery for LWE in Polynomial Time
Kim Laine, Kristin Lauter
IACR Cryptology ePrint Archive | October 2015
-
Key Recovery for LWE in Polynomial Time
Kim Laine, Kristin Lauter
March 2015
-
-
-
Privacy Preserving Phishing WebPage Classification Via Fully Homomorphic encryption
IEEE ICASSP | June 2020
-
Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption
Edward J. Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, Jack W. Stokes
International Conference on Acoustics, Speech, and Signal Processing | May 2020
-
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2016-3 | February 2016
-
Manual for Using Homomorphic Encryption for Bioinformatics
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2015-87 | November 2015
-
-
-
CHET: An Optimizing Compiler for Fully-Homomorphic Neural-Network Inferencing
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz
PLDI 2019 | June 2019
-
-
-
Secure Data Exchange: A Marketplace in the Cloud
Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Peter Rindal, Mike Rosulek
MSR-TR-2016-11 | June 2016
-
Key Recovery for LWE in Polynomial Time
Kim Laine, Kristin Lauter
IACR Cryptology ePrint Archive | October 2015
-
Key Recovery for LWE in Polynomial Time
Kim Laine, Kristin Lauter
March 2015
-
-
-
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2016-3 | February 2016
-
Manual for Using Homomorphic Encryption for Bioinformatics
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2015-87 | November 2015
-
-
-
Does Prompt-Tuning Language Model Ensure Privacy?
Shangyu Xie, Wei Dai, Esha Ghosh, Sambuddha Roy, Dan Schwartz, Kim Laine
April 2023
-
Understanding People’s Concerns and Attitudes Toward Smart Cities
Pardis Emami-Naeini, Joseph Breda, Wei Dai, Tadayoshi Kohno, Kim Laine, Shwetak Patel, Franziska Roesner
April 2023
-
UN Handbook on Privacy-Preserving Computation Techniques
David W. Archer, Borja de Balle Pigem, Dan Bogdanov, Mark Craddock, Adria Gascon, Ronald Jansen, Matjaž Jug, Kim Laine, Robert McLellan, Olga Ohrimenko, Mariana Raykova, Andrew Trask, Simon Wardley
January 2023
-
-
-
EVA Improved: Compiler and Extension Library for CKKS
Sangeeta Chowdhary, Wei Dai, Kim Laine, Olli Saarikivi
Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC '21) | November 2021
-
Labeled PSI from homomorphic encryption with reduced computation and communication
Kelong Cong, Radames Cruz Moreno, Mariana Botelho da Gama, Wei Dai, Ilia Iliashenko, Kim Laine, Michael Rosenberg
2021 ACM SIGSAC Conference on Computer and Communications Security | November 2021
-
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation
Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt
CHI '21 | January 2021
-
Privacy Preserving Phishing WebPage Classification Via Fully Homomorphic encryption
IEEE ICASSP | June 2020
-
Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption
Edward J. Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, Jack W. Stokes
International Conference on Acoustics, Speech, and Signal Processing | May 2020
-
HEAX: An Architecture for Computing on Encrypted Data
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
2020 Architectural Support for Programming Languages and Operating Systems | March 2020
-
EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madan Musuvathi
PLDI 2020 | December 2019
-
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin Lauter, Farinaz Koushanfar
USENIX Security | August 2019
-
CHET: An Optimizing Compiler for Fully-Homomorphic Neural-Network Inferencing
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz
PLDI 2019 | June 2019
-
Labeled PSI from Fully Homomorphic Encryption with Malicious Security
Hao Chen, Zhicong Huang, Kim Laine, Peter Rindal
ACM SIGSAC Conference on Computer and Communications Security | October 2018
-
PIR with compressed queries and amortized computation
Sebastian Angel, Hao Chen, Kim Laine, Srinath Setty
IEEE Symposium on Security and Privacy, S&P (Oakland) 2018 | April 2018
-
High-Precision Arithmetic in Homomorphic Encryption
Kim Laine, Hao Chen, Rachel Player, Yuhou Xia
Topics in Cryptology – CT-RSA 2018. CT-RSA 2018 | March 2018
ISBN: 978-3-319-76952-3
Lecture Notes in Computer Science
-
Fast Private Set Intersection from Homomorphic Encryption
Hao Chen, Kim Laine, Peter Rindal
CCS '17 Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security | October 2017
ISBN: 978-1-4503-4946-8
-
Private queries on encrypted genomic data
Kim Laine, Kristin Lauter, Hao Chen, Peter Rindal, Gizem S. Çetin, Yuhou Xia
iDASH Privacy and Security Workshop 2016 | July 2017
-
Key Recovery for LWE in Polynomial Time
Kim Laine, Kristin Lauter
March 2015
-
-
-
Protecting Privacy through Homomorphic Encryption
Kristin Lauter, Wei Dai, Kim Laine
Published by Springer Cham | December 2021
Rédacteur(s) en chef: Kristin Lauter, Wei Dai, Kim Laine
ISBN: 978-3-030-77287-1
-
-
-
Precio: Private Aggregate Measurement via Oblivious Shuffling
Erik Anderson, Melissa Chase, Betül Durak, Kim Laine, Chenkai Weng
November 2021
-
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
October 2018
-
-
-
Logistic regression over encrypted data from fully homomorphic encryption
Hao Chen, Ran Gilad-Bachrach, Kyoohyung Han, Zhicong Huang, Amir Jalali, Kim Laine, Kristin Lauter
BMC Medical Genomics | October 2018, Vol 11(4)
-
Key Recovery for LWE in Polynomial Time
Kim Laine, Kristin Lauter
IACR Cryptology ePrint Archive | October 2015
-
-
-
Secure Data Exchange: A Marketplace in the Cloud
Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Peter Rindal, Mike Rosulek
MSR-TR-2016-11 | June 2016
-
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2016-3 | February 2016
-
Manual for Using Homomorphic Encryption for Bioinformatics
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing
MSR-TR-2015-87 | November 2015
-