Papers Computer Security
“Computer Security” 태그가 달린 논문 70편 · 필터 해제
A LLM Assisted Exploitation of AI-Guardian
Large language models (LLMs) are now highly capable at a diverse range of tasks. This paper studies whether or not GPT-4, one such LLM, is capable of assisting researchers in the field of adversarial machine learning. As…
Computer SecurityLanguage ModelingLanguage ModellingCovert Communication Based on the Poisoning Attack in Federated Learning
Covert communication has become an important area of research in computer security. It involves hiding specific information on a carrier for message transmission and is often used to transmit private data, military secre…
Computer SecurityFederated LearningUnderstand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective
Blockchain enables peer-to-peer transactions in cyberspace without a trusted third party. The rapid growth of Ethereum and smart contract blockchains generally calls for well-designed Transaction Fee Mechanisms (TFMs) to…
Causal InferenceComputer SecurityTime SeriesTime Series AnalysisNot what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Large Language Models (LLMs) are increasingly being integrated into various applications. The functionalities of recent LLMs can be flexibly modulated via natural language prompts. This renders them susceptible to target…
Code CompletionComputer SecurityInstruction FollowingRetrievalExploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
Recent advances in instruction-following large language models (LLMs) have led to dramatic improvements in a range of NLP tasks. Unfortunately, we find that the same improved capabilities amplify the dual-use risks for m…
Computer SecurityInstruction FollowingDefensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Side-channel attacks that use machine learning (ML) for signal analysis have become prominent threats to computer security, as ML models easily find patterns in signals. To address this problem, this paper explores using…
Computer SecurityIndexing AI Risks with Incidents, Issues, and Variants
Two years after publicly launching the AI Incident Database (AIID) as a collection of harms or near harms produced by AI in the world, a backlog of "issues" that do not meet its incident ingestion criteria have accumulat…
Computer SecurityPre-Training Representations of Binary Code Using Contrastive Learning
Binary code analysis and comprehension is critical to applications in reverse engineering and computer security tasks where source code is not available. Unfortunately, unlike source code, binary code lacks semantics and…
Code SummarizationComputer SecurityContrastive LearningRepresentation Learning+1Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots
Chatbots are used in many applications, e.g., automated agents, smart home assistants, interactive characters in online games, etc. Therefore, it is crucial to ensure they do not behave in undesired manners, providing of…
ChatbotComputer SecuritySoK: Explainable Machine Learning for Computer Security Applications
Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine learning (ML) pipelines. We systematize the increasingly growing (but fragmented) microcosm of studies that develop and utilize XAI me…
Computer SecurityExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)IR-ORAM: Path Access Type Based Memory Intensity Reduction for Path-ORAM
Path ORAM is an effective ORAM (Oblivious RAM) primitive for protecting memory access patterns. Path ORAM converts each off-chip memory request from user program to tens to hundreds of memory accesses. While several sche…
Computer Architecture and SystemsComputer SecurityPositionPrivacy PreservingA new Sparse Auto-encoder based Framework using Grey Wolf Optimizer for Data Classification Problem
One of the most important properties of deep auto-encoders (DAEs) is their capability to extract high level features from row data. Hence, especially recently, the autoencoders are preferred to be used in various classif…
Computer SecurityPhysical Activity Recognition by Utilising Smartphone Sensor Signals
Human physical motion activity identification has many potential applications in various fields, such as medical diagnosis, military sensing, sports analysis, and human-computer security interaction. With the recent adva…
Activity RecognitionComputer SecurityMedical DiagnosisScaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis o…
Abstract AlgebraAnachronismsAnalogical SimilarityAnalytic Entailment+143CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description
When a new computer security vulnerability is publicly disclosed, only a textual description of it is available. Cybersecurity experts later provide an analysis of the severity of the vulnerability using the Common Vulne…
Computer SecurityGenerating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling
Due to the variety of cyber-attacks or threats, the cybersecurity community enhances the traditional security control mechanisms to an advanced level so that automated tools can encounter potential security threats. Very…
Computer SecurityParallel Algorithms for Densest Subgraph Discovery Using Shared Memory Model
The problem of finding dense components of a graph is a widely explored area in data analysis, with diverse applications in fields and branches of study including community mining, spam detection, computer security and b…
Computer SecuritySpam detectionCyber Risk in Health Facilities: A Systematic Literature Review
The current world challenges include issues such as infectious disease pandemics, environmental health risks, food safety, and crime prevention. Through this article, a special emphasis is given to one of the main challe…
Computer SecurityManagementSystematic Literature ReviewFragments Expert A Graphical User Interface MATLAB Toolbox for Classification of File Fragments
The classification of file fragments of various file formats is an essential task in various applications such as firewalls, intrusion detection systems, anti-viruses, web content filtering, and digital forensics. Howeve…
ClassificationComputer SecurityFile Type IdentificationIntrusion DetectionCodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching
Binary source code matching, especially on function-level, has a critical role in the field of computer security. Given binary code only, finding the corresponding source code improves the accuracy and efficiency in reve…
Computer SecurityCross-Modal RetrievalFeature EngineeringGraph Neural Network+1