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With ChatGPT under the spotlight, utilizing large language models (LLMs) to assist academic writing has drawn a significant amount of debate in the community. In this paper, we aim to present a comprehensive study of the detectability of ChatGPT-...

Satellite modems are critical components in satellite communication networks. Especially, they determine the entire communication regime in traditional systems where the satellites only act as transparent relays. However, unlike satellites that are ...

Face recognition systems have been targeted by recent physical adversarial machine learning attacks, which attach or project visible patterns on adversaries' faces to trick backend FR models. While these attacks have demonstrated effectiveness in the ...

It is with great enthusiasm that we, on behalf of the Organizing Committee, invite you to join us for the 31st ACM SIGSAC Conference on Computer and Communications Security (CCS), a premier security and privacy conference where researchers, practitioners,...

Automotive companion apps are mobile apps designed to remotely connect with cars to provide features such as diagnostics, logging, navigation, and safety alerts. Specifically, onboard diagnostics (OBD) based mobile applications directly ...

Generative AI models can produce high-quality images based on text prompts. The generated images often appear indistinguishable from images generated by conventional optical photography devices or created by human artists (i.e., real images). ...

Link-flooding attacks (LFAs) may disrupt Internet connections in targeted areas by flooding specific links. One effective mitigation strategy against these attacks is network topology obfuscation (NTO), which aims to obscure the network map and conceal ...

Dynamic Searchable Encryption (DSE) has emerged as a solution to efficiently handle and protect large-scale data storage in encrypted databases (EDBs). Volume leakage poses a significant threat' as it enables adversaries to reconstruct search queries and ...

Email has become an essential service for global communication. In email protocols, a Delegation Mechanism allows emails to be sent by other entities on behalf of the email author. Specifically, the Sender field indicates the agent for email delivery (...

The rise of malicious mobile applications poses a significant threat to users and app stores. While iOS apps have generally been considered more secure due to strict review processes and limited distribution avenues, developers have found ways to evade ...

Ethics is an important criterion for security research. This work presents the current status and trends that security researchers have taken to address ethical concerns in their studies from a data perspective. In particular, we created a dataset of 3,...

A well-organized SmartApps dataset provides a valuable resource for researchers to evaluate their work on smart home automation systems. The IoTBench dataset created by Celik et al. 1 is a significant contribution to the IoT research community [1]. ...

With the development of computing and communication technologies, an extremely large amount of data has been collected, stored, utilized, and shared, while new security and privacy challenges arise. Existing access control mechanisms provided by big data ...

The wide adoption of deep neural networks (DNNs) in real-world applications raises increasing security concerns. Neural Trojans embedded in pre-trained neural networks are a harmful attack against the DNN model supply chain. They generate false outputs ...

Bluetooth is a short-range wireless communication technology widely used by billions of personal computing, IoT, peripheral, and wearable devices. Bluetooth devices exchange commands and data, such as keyboard/mouse inputs, audio, and files, through a ...

The growth of IoT apps poses increasing concerns about sensitive data leaks. While privacy policies are required to describe how IoT apps use private user data (i.e., data practice), problems such as missing, inaccurate, and inconsistent policies ...

With the growing popularity of artificial intelligence (AI) and machine learning (ML), a wide spectrum of attacks against deep learning (DL) models have been proposed in the literature. Both the evasion attacks and the poisoning attacks attempt to ...

• The paper proposes a high-level semantic mapping within semantic space to increase the semantic deduction ability of the deep neural network.

The paper proposes a semantic clustering based deduction learning by mimicking the learning and thinking process of human brains. Human beings can make judgments based on experience and cognition, and as a result, no one would ...

The characteristics of English writing text in natural scenes are characterized by low character detection rate, difficulty in small character detection, and various character detection categories. In order to improve the classification effect of English-...

In the evasion attacks against deep neural networks (DNN), the attacker generates adversarial instances that are visually indistinguishable from benign samples and sends them to the target DNN to trigger misclassifications. In this paper, we propose a ...