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TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing

Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, 2021, p.2096-2112

2021

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Explainability-based Backdoor Attacks Against Graph Neural Networks

Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021, p.31-36

2021

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Fake reviews tell no tales? dissecting click farming in content-generated social networks

China communications, 2018-04, Vol.15 (4), p.98-109

2018

Volltextzugriff (PDF)

Modeling Privacy Leakage Risks in Large-Scale Social Networks

IEEE access, 2018-01, Vol.6, p.17653-17665

2018

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Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach

Computers & security, 2018-03, Vol.73, p.326-344

2018

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I know where you are: Thwarting privacy protection in location-based social discovery services

2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2015, p.179-184

2015

Volltextzugriff (PDF)

Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization

IEEE transactions on dependable and secure computing, 2021-09, Vol.18 (5), p.2088-2105

2021

Volltextzugriff (PDF)

DeepGauge: multi-granularity testing criteria for deep learning systems

2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018, p.120-131

2018

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Hidden Backdoors in Human-Centric Language Models

Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, 2021, p.3123-3140

2021

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TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems

IEEE transactions on information forensics and security, 2022, Vol.17, p.3816-3830

2022

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VeriDIP: Verifying Ownership of Deep Neural Networks Through Privacy Leakage Fingerprints

IEEE transactions on dependable and secure computing, 2024-07, Vol.21 (4), p.2568-2584

2024

Volltextzugriff (PDF)

DeepMutation: Mutation Testing of Deep Learning Systems

2018 IEEE 29th International Symposium on Software Reliability Engineering (ISSRE), 2018, p.100-111

2018

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[Formula Omitted]: Verifying Ownership of Deep Neural Networks Through Privacy Leakage Fingerprints

IEEE transactions on dependable and secure computing, 2024-01, Vol.21 (4), p.2568

2024

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Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.13420-13429

2022

Volltextzugriff (PDF)

With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models

IEEE transactions on information forensics and security, 2021, Vol.16, p.3709-3723

2021

Volltextzugriff (PDF)

Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference

Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security, 2021, p.337-350

2021

Volltextzugriff (PDF)

An empirical assessment of security risks of global Android banking apps

2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020, p.1310-1322

2020

Volltextzugriff (PDF)

GUI-Squatting Attack: Automated Generation of Android Phishing Apps

IEEE transactions on dependable and secure computing, 2021-11, Vol.18 (6), p.2551-2568

2021

Volltextzugriff (PDF)

Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples

IEEE transaction on neural networks and learning systems, 2022-11, Vol.33 (11), p.6976-6982

2022

Volltextzugriff (PDF)

Deep Learning Backdoors

Security and Artificial Intelligence, p.313-334

Volltextzugriff (PDF)

The "Code" of Ethics: A Holistic Audit of AI Code Generators

IEEE transactions on dependable and secure computing, 2024-01, Vol.21 (5), p.1-16

2024

Volltextzugriff (PDF)

BazzAFL: Moving Fuzzing Campaigns Towards Bugs Via Grouping Bug-Oriented Seeds

IEEE transactions on dependable and secure computing, 2024, p.1-13

2024

Volltextzugriff (PDF)

NTD: Non-Transferability Enabled Deep Learning Backdoor Detection

IEEE transactions on information forensics and security, 2024, Vol.19, p.104-119

2024

Volltextzugriff (PDF)

POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023, p.1031-1033

2023

Volltextzugriff (PDF)

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.1085-1097

2021

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TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing

Explainability-based Backdoor Attacks Against Graph Neural Networks

Fake reviews tell no tales? dissecting click farming in content-generated social networks

Modeling Privacy Leakage Risks in Large-Scale Social Networks

Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach

I know where you are: Thwarting privacy protection in location-based social discovery services

Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization

DeepGauge: multi-granularity testing criteria for deep learning systems

Hidden Backdoors in Human-Centric Language Models

TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems

VeriDIP: Verifying Ownership of Deep Neural Networks Through Privacy Leakage Fingerprints

DeepMutation: Mutation Testing of Deep Learning Systems

[Formula Omitted]: Verifying Ownership of Deep Neural Networks Through Privacy Leakage Fingerprints

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models

Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference

An empirical assessment of security risks of global Android banking apps

GUI-Squatting Attack: Automated Generation of Android Phishing Apps

Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples

Deep Learning Backdoors

The "Code" of Ethics: A Holistic Audit of AI Code Generators

BazzAFL: Moving Fuzzing Campaigns Towards Bugs Via Grouping Bug-Oriented Seeds

NTD: Non-Transferability Enabled Deep Learning Backdoor Detection

POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

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