activity
20182026
most citedBackdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models

79 citations · 167 across the 17 of their papers we have counts for

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Showing cs.CRShow all

10 papers · 1 filter

cs.CR2026

SoK: How Frontier AI Reshapes System-Level Security Risk Dynamics in Critical Infrastructure

Chandra Thapa, Mohan Baruwal Chhetri, Marthie Grobler +2

Frontier artificial intelligence (FAI), encompassing large-scale, general-purpose AI systems, including large language models, multimodal foundation models, and agentic systems, is…

cs.CR2026

From Frontier to Shadow AI: A Simmering Threat to Assurance and Security in Critical Infrastructure

Mohan Baruwal Chhetri, Shahroz Tariq, Tooba Aamir +3

Frontier AI systems, including large language models and emerging agentic AI tools, offer significant operational benefits but present unique challenges to critical infrastructure…

cs.CR2025

From misinformation to climate crisis: Navigating vulnerabilities in the cyber-physical-social systems

Tooba Aamir, Marthie Grobler, Giovanni Russello

Within the cyber-physical-social-climate nexus, all systems are deeply interdependent: cyber infrastructure facilitates communication, data processing, and automation across physic…

cs.CR2024

Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?

Van Nguyen, Xingliang Yuan, Tingmin Wu +3

Software vulnerabilities (SVs) have become a common, serious, and crucial concern to safety-critical security systems. That leads to significant progress in the use of AI-based met…

cs.CR2024★ 1 cited

An Innovative Information Theory-based Approach to Tackle and Enhance The Transparency in Phishing Detection

Van Nguyen, Tingmin Wu, Xingliang Yuan +3

Phishing attacks have become a serious and challenging issue for detection, explanation, and defense. Despite more than a decade of research on phishing, encompassing both technica…

cs.CR2022★ 4 cited

Local Differential Privacy for Federated Learning

M. A. P. Chamikara, Dongxi Liu, Seyit Camtepe +4

Advanced adversarial attacks such as membership inference and model memorization can make federated learning (FL) vulnerable and potentially leak sensitive private data. Local diff…

cs.CR2021

Systematic Literature Review on Cyber Situational Awareness Visualizations

Liuyue Jiang, Asangi Jayatilaka, Mehwish Nasim +3

The dynamics of cyber threats are increasingly complex, making it more challenging than ever for organizations to obtain in-depth insights into their cyber security status. Therefo…

cs.CR2018★ 1 cited

A model for system developers to measure the privacy risk of data

Awanthika Senarath, Marthie Grobler, Nalin Asanka Gamagedara Arachchilage

In this paper, we propose a model that could be used by system developers to measure the privacy risk perceived by users when they disclose data into software systems. We first der…

cs.CR2018★ 40 cited

Security and Performance Considerations in ROS 2: A Balancing Act

Jongkil Kim, Jonathon M. Smereka, Calvin Cheung +2

Robot Operating System (ROS) 2 is a ground-up re-design of ROS 1 to support performance critical cyber-physical systems (CPSs) using the Data Distribution Service (DDS) middleware.…

cs.CR2018★ 3 cited

Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps

Tingmin Wu, Lihong Tang, Rongjunchen Zhang +5

Android users are increasingly concerned with the privacy of their data and security of their devices. To improve the security awareness of users, recent automatic techniques produ…