Machine Learning for Cyber Security - Lecture Notes in Computer Science
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 53)

H-INDEX

(FIVE YEARS 1)

Published By Springer International Publishing

9783030624590, 9783030624606

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Efficient Defense Against Adversarial Attacks and Security Evaluation of Deep Learning System

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_53 ◽

2020 ◽

pp. 592-602

Author(s):

Na Pang ◽

Sheng Hong ◽

Yang Pan ◽

Yuqi Ji

Keyword(s):

Deep Learning ◽

Learning System ◽

Security Evaluation

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Squeeze Criterion GANs: Double Adversarial Learning Method

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_43 ◽

2020 ◽

pp. 479-493

Author(s):

Yan Gan ◽

Tao Xiang ◽

Mao Ye

Keyword(s):

Learning Method ◽

Adversarial Learning

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Application of Fuzzy Comprehensive Evaluation in Environmental Adaptability of Poultry House

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_40 ◽

2020 ◽

pp. 443-451

Author(s):

Fenghang Zhang ◽

Linze Li ◽

Yuxuan Jiang ◽

Zhunan Zhou ◽

Xiuli Wang

Keyword(s):

Comprehensive Evaluation ◽

Fuzzy Comprehensive Evaluation ◽

Poultry House ◽

Environmental Adaptability

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A Survey of Researches on Personalized Bundle Recommendation Techniques

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_26 ◽

2020 ◽

pp. 290-304

Author(s):

Miao Li ◽

Xuguang Bao ◽

Liang Chang ◽

Zhoubo Xu ◽

Long Li

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AdvJND: Generating Adversarial Examples with Just Noticeable Difference

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_42 ◽

2020 ◽

pp. 463-478

Author(s):

Zifei Zhang ◽

Kai Qiao ◽

Lingyun Jiang ◽

Linyuan Wang ◽

Jian Chen ◽

...

Keyword(s):

Just Noticeable Difference ◽

Adversarial Examples

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Querying Little Is Enough: Model Inversion Attack via Latent Information

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_52 ◽

2020 ◽

pp. 583-591

Author(s):

Kanghua Mo ◽

Teng Huang ◽

Xiaoyu Xiang

Keyword(s):

Model Inversion

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A Poisoning Attack Against the Recognition Model Trained by the Data Augmentation Method

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_49 ◽

2020 ◽

pp. 550-561

Author(s):

Yunhao Yang ◽

Long Li ◽

Liang Chang ◽

Tianlong Gu

Keyword(s):

Data Augmentation ◽

Recognition Model

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Smart Watchdog: A Lightweight Defending Mechanism Against Adversarial Transfer Learning

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_48 ◽

2020 ◽

pp. 540-549

Author(s):

Yong Ding ◽

Wenyao Liu ◽

Yi Qin ◽

Yujue Wang

Keyword(s):

Transfer Learning

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A High-Recall Membership Inference Attack Based on Confidence-Thresholding Method with Relaxed Assumption

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_47 ◽

2020 ◽

pp. 525-539

Author(s):

Lulu Wang ◽

Xiaoyu Zhang ◽

Yi Xie ◽

Xu Ma ◽

Meixia Miao

Keyword(s):

High Recall ◽

Thresholding Method ◽

Inference Attack

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War: An Efficient Pre-processing Method for Defending Adversarial Attacks

Machine Learning for Cyber Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-62460-6_46 ◽

2020 ◽

pp. 514-524

Author(s):

Zhaoxia Yin ◽

Hua Wang ◽

Jie Wang

Keyword(s):

Processing Method

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Machine Learning for Cyber Security - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Efficient Defense Against Adversarial Attacks and Security Evaluation of Deep Learning System

Squeeze Criterion GANs: Double Adversarial Learning Method

Application of Fuzzy Comprehensive Evaluation in Environmental Adaptability of Poultry House

A Survey of Researches on Personalized Bundle Recommendation Techniques

AdvJND: Generating Adversarial Examples with Just Noticeable Difference

Querying Little Is Enough: Model Inversion Attack via Latent Information

A Poisoning Attack Against the Recognition Model Trained by the Data Augmentation Method

Smart Watchdog: A Lightweight Defending Mechanism Against Adversarial Transfer Learning

A High-Recall Membership Inference Attack Based on Confidence-Thresholding Method with Relaxed Assumption

War: An Efficient Pre-processing Method for Defending Adversarial Attacks

Machine Learning for Cyber Security - Lecture Notes in Computer Science
Latest Publications