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Found 5 papers, 1 papers with code
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
In particular, we discuss attacks against ReLU activation functions that make it possible to generate a family of malicious inputs, which are called fooling inputs, to be used at inference time to induce controlled misclassifications.
Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach
Machine-learning based intrusion detection classifiers are able to detect unknown attacks, but at the same time, they may be susceptible to evasion by obfuscation techniques.
Cryptography and Security C.2.0
Gamifying Education and Research on ICS Security: Design, Implementation and Results of S3
In this work, we consider challenges relating to security for Industrial Control Systems (ICS) in the context of ICS security education and research targeted both to academia and industry.
Cryptography and Security
SIPHON: Towards Scalable High-Interaction Physical Honeypots
Based on this setup, six physical IP cameras, one NVR and one IP printer are presented as 85 real IoT devices on the Internet, attracting a daily traffic of 700MB for a period of two months.
Cryptography and Security
FEEBO: An Empirical Evaluation Framework for Malware Behavior Obfuscation
We propose and implement such a framework that obfuscates the observable behavior of malware binaries.
Cryptography and Security
