Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …
been remarkable. Deep learning, in particular, has been extensively used to drive …
Robustbench: a standardized adversarial robustness benchmark
As a research community, we are still lacking a systematic understanding of the progress on
adversarial robustness which often makes it hard to identify the most promising ideas in …
adversarial robustness which often makes it hard to identify the most promising ideas in …
The rise of website fingerprinting on Tor: Analysis on techniques and assumptions
Tor is one of the most popular anonymity networks that allows Internet users to hide their
browsing activity. Hiding browsing activity is essential for Internet users to increase their …
browsing activity. Hiding browsing activity is essential for Internet users to increase their …
Subverting website fingerprinting defenses with robust traffic representation
Anonymity networks, eg, Tor, are vulnerable to various website fingerprinting (WF) attacks,
which allows attackers to perceive user privacy on these networks. However, the defenses …
which allows attackers to perceive user privacy on these networks. However, the defenses …
Defeating {DNN-Based} traffic analysis systems in {Real-Time} with blind adversarial perturbations
Deep neural networks (DNNs) are commonly used for various traffic analysis problems, such
as website fingerprinting and flow correlation, as they outperform traditional (eg, statistical) …
as website fingerprinting and flow correlation, as they outperform traditional (eg, statistical) …
Paradefender: A scenario-driven parallel system for defending metaverses
The metaverse, as an instance of cyber–physical–social systems (CPSS) that originates in
cyber–physical systems (CPS), features growing complexity, and diversity in terms of …
cyber–physical systems (CPS), features growing complexity, and diversity in terms of …
Sok: A critical evaluation of efficient website fingerprinting defenses
Recent website fingerprinting attacks have been shown to achieve very high performance
against traffic through Tor. These attacks allow an adversary to deduce the website a Tor …
against traffic through Tor. These attacks allow an adversary to deduce the website a Tor …
Black-box Adversarial Example Attack towards {FCG} Based Android Malware Detection under Incomplete Feature Information
The function call graph (FCG) based Android malware detection methods have recently
attracted increasing attention due to their promising performance. However, these methods …
attracted increasing attention due to their promising performance. However, these methods …
Active learning for network traffic classification: a technical study
Network Traffic Classification (NTC) has become an important feature in various network
management operations, eg, Quality of Service (QoS) provisioning and security services …
management operations, eg, Quality of Service (QoS) provisioning and security services …
Robust multi-tab website fingerprinting attacks in the wild
Website fingerprinting enables an eavesdropper to determine which websites a user is
visiting over an encrypted connection. State-of-the-art website fingerprinting (WF) attacks …
visiting over an encrypted connection. State-of-the-art website fingerprinting (WF) attacks …