Lecture Notes in Computer Science - Computer Security – ESORICS 2019
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Published By Springer International Publishing

9783030299583, 9783030299590

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_4 ◽

2019 ◽

pp. 66-83 ◽

Cited By ~ 5

Author(s):

Huadi Zheng ◽

Qingqing Ye ◽

Haibo Hu ◽

Chengfang Fang ◽

Jie Shi

Keyword(s):

Machine Learning ◽

Learning Model ◽

Model Extraction ◽

Machine Learning Model

iCAT: An Interactive Customizable Anonymization Tool

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_32 ◽

2019 ◽

pp. 658-680

Author(s):

Momen Oqaily ◽

Yosr Jarraya ◽

Mengyuan Zhang ◽

Lingyu Wang ◽

Makan Pourzandi ◽

...

Where to Look for What You See Is What You Sign? User Confusion in Transaction Security

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_21 ◽

2019 ◽

pp. 429-449

Author(s):

Vincent Haupert ◽

Stephan Gabert

Keyword(s):

Transaction Security

A Formal Model for Checking Cryptographic API Usage in JavaScript

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_17 ◽

2019 ◽

pp. 341-360

Author(s):

Duncan Mitchell ◽

Johannes Kinder

Keyword(s):

Formal Model ◽

Api Usage

Attacking Speaker Recognition Systems with Phoneme Morphing

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_23 ◽

2019 ◽

pp. 471-492

Author(s):

Henry Turner ◽

Giulio Lovisotto ◽

Ivan Martinovic

Keyword(s):

Speaker Recognition ◽

Recognition Systems

Privacy-Enhanced Machine Learning with Functional Encryption

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_1 ◽

2019 ◽

pp. 3-21 ◽

Cited By ~ 1

Author(s):

Tilen Marc ◽

Miha Stopar ◽

Jan Hartman ◽

Manca Bizjak ◽

Jolanda Modic

Keyword(s):

Machine Learning ◽

Functional Encryption

Local Obfuscation Mechanisms for Hiding Probability Distributions

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_7 ◽

2019 ◽

pp. 128-148 ◽

Cited By ~ 1

Author(s):

Yusuke Kawamoto ◽

Takao Murakami

Keyword(s):

Probability Distributions

NetSpectre: Read Arbitrary Memory over Network

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_14 ◽

2019 ◽

pp. 279-299 ◽

Cited By ~ 13

Author(s):

Michael Schwarz ◽

Martin Schwarzl ◽

Moritz Lipp ◽

Jon Masters ◽

Daniel Gruss

Incentives for Harvesting Attack in Proof of Work Mining Pools

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_34 ◽

2019 ◽

pp. 703-725 ◽

Cited By ~ 1

Author(s):

Yevhen Zolotavkin ◽

Veronika Kuchta

Monitoring the GDPR

Lecture Notes in Computer Science - Computer Security – ESORICS 2019 ◽

10.1007/978-3-030-29959-0_33 ◽

2019 ◽

pp. 681-699 ◽

Cited By ~ 1

Author(s):

Emma Arfelt ◽

David Basin ◽

Søren Debois

Lecture Notes in Computer Science - Computer Security – ESORICS 2019Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks

iCAT: An Interactive Customizable Anonymization Tool

Where to Look for What You See Is What You Sign? User Confusion in Transaction Security

A Formal Model for Checking Cryptographic API Usage in JavaScript

Attacking Speaker Recognition Systems with Phoneme Morphing

Privacy-Enhanced Machine Learning with Functional Encryption

Local Obfuscation Mechanisms for Hiding Probability Distributions

NetSpectre: Read Arbitrary Memory over Network

Incentives for Harvesting Attack in Proof of Work Mining Pools

Monitoring the GDPR

Lecture Notes in Computer Science - Computer Security – ESORICS 2019
Latest Publications