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Computer Security

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Showing 1–50 of 66 papers

TitleStatusHype
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionCode4
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMsCode3
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language ModelsCode1
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code MatchingCode1
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active LearningCode1
Active Anomaly Detection via EnsemblesCode1
The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI—0
Expectation vs. Reality: Towards Verification of Psychological Games—0
TDDBench: A Benchmark for Training data detection—0
Revisiting Static Feature-Based Android Malware Detection—0
Malicious Internet Entity Detection Using Local Graph Inference—0
Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models—0
A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection—0
Online Clustering of Known and Emerging Malware Families—0
From Clicks to Security: Investigating Continuous Authentication via Mouse Dynamics—0
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks—0
Detecting Face Synthesis Using a Concealed Fusion Model—0
SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer SecurityCode0
Anomaly Detection of Command Shell Sessions based on DistilBERT: Unsupervised and Supervised Approaches—0
A LLM Assisted Exploitation of AI-Guardian—0
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?—0
Covert Communication Based on the Poisoning Attack in Federated Learning—0
Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary PerspectiveCode0
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks—0
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation—0
Indexing AI Risks with Incidents, Issues, and Variants—0
Pre-Training Representations of Binary Code Using Contrastive Learning—0
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots—0
SoK: Explainable Machine Learning for Computer Security ApplicationsCode0
IR-ORAM: Path Access Type Based Memory Intensity Reduction for Path-ORAM—0
A new Sparse Auto-encoder based Framework using Grey Wolf Optimizer for Data Classification Problem—0
Physical Activity Recognition by Utilising Smartphone Sensor Signals—0
CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its DescriptionCode0
Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling—0
Parallel Algorithms for Densest Subgraph Discovery Using Shared Memory Model—0
Cyber Risk in Health Facilities: A Systematic Literature Review—0
Fragments Expert A Graphical User Interface MATLAB Toolbox for Classification of File FragmentsCode0
Dos and Don'ts of Machine Learning in Computer Security—0
Detecting malicious PDF using CNN—0
Generating Adversarial Examples with an Optimized Quality—0
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis—0
Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification—0
The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?—0
Coda: An End-to-End Neural Program Decompiler—0
A Neural-based Program Decompiler—0
Evaluating Explanation Methods for Deep Learning in SecurityCode0
Defending Against Neural Fake NewsCode0
Artificial Consciousness and Security—0
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection—0
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