Computer Security. ESORICS 2024 International Workshops
portes grátis
Computer Security. ESORICS 2024 International Workshops
SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16-20, 2024, Revised Selected Papers, Part II
Cambiaso, Enrico; Verderame, Luca; Kalutarage, Harsha; Garcia-Alfaro, Joaquin; Kozik, Rafal; Ranise, Silvio; Ksieniewicz, Pawel; Yanai, Naoto; Wozniak, Michal; Ugarelli, Rita
Springer International Publishing AG
04/2025
510
Mole
9783031823619
Pré-lançamento - envio 15 a 20 dias após a sua edição
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SECAI PAPERS: Feasibility Study for Supporting Static Malware Analysis Using LLM.- PSY: Posterior Sampling Based Privacy Enhancer in Large Language Models.- Systematic Bug Reproduction with Large Language Model.- BOTracle: A framework for Discriminating Bots and Humans.- Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation.- On Intrinsic Cause and Defense of Adversarial Examples in Deep Neural Networks.- Effects of Poisoning Attacks on Causal Deep Reinforcement Learning.- Generating Traffic-Level Adversarial Examples from Feature-Level Specifications.- PhishCoder: Efficient Extraction of Contextual Information from Phishing Emails.- .On the Robustness of Malware Detectors to Adversarial Samples.- Towards AI-Based Identification of Publicly Known Vulnerabilities.- Machine Learning-Based Secure Malware Detection using Features from Binary Executable Headers.- Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations.- Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware.- A RAG-Based Question-Answering Solution for Cyber-Attack Investigation and Attribution. DisA PAPERS: Recognition of Remakes and Fake Facial Images.- A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, through Feature Omission and a Committee of Classifiers.- Proposition of a Novel Type of Attacks Targeting Explainable AI Algorithms in Cybersecurity.- Data structures towards the recognition of fake news and disinformation written in Polish. CPS4CIP PAPERS: Characterizing Prediction Model Responses to Attack Inputs: A Study with Time-Series Power Consumption Data.- Best Practices - based Training for Improving Cybersecurity in Power Grids.- Proactive Cyber Security Strategies for Securing Critical National Infrastructure.- Weaponizing Disinformation Against Critical Infrastructures. SecAssure PAPERS: Compliance-driven CWE Assessment by Semantic Similarity.- Enabling Android Application Monitoring by Characterizing Security-Critical Code Fragments.- MITRE-Based APT Attack Generation and Prediction.- Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection.- Formalizing Federated Learning and Differential Privacy for GIS systems in IIIf.- AI-Assisted Assurance Profile Creation for System Security Assurance.- Attack to Defend: Gamifying the MITRE ATT&CK for Cyber Security Training using the COFELET Framework.- Canary in the Coal Mine: Identifying Cyber Threat Trends through Topic Mining -- Stack Overflow Case Study.
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Large Language Model ;Malware;Data Contamination ;Adversarial Example ;Phishing ;Fake Content ;Fake News Detection ;Critical Infrastructures Protection ;Cyber-Physical Security ;Critical Infrastructures Resilience;Security Assessment
SECAI PAPERS: Feasibility Study for Supporting Static Malware Analysis Using LLM.- PSY: Posterior Sampling Based Privacy Enhancer in Large Language Models.- Systematic Bug Reproduction with Large Language Model.- BOTracle: A framework for Discriminating Bots and Humans.- Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation.- On Intrinsic Cause and Defense of Adversarial Examples in Deep Neural Networks.- Effects of Poisoning Attacks on Causal Deep Reinforcement Learning.- Generating Traffic-Level Adversarial Examples from Feature-Level Specifications.- PhishCoder: Efficient Extraction of Contextual Information from Phishing Emails.- .On the Robustness of Malware Detectors to Adversarial Samples.- Towards AI-Based Identification of Publicly Known Vulnerabilities.- Machine Learning-Based Secure Malware Detection using Features from Binary Executable Headers.- Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations.- Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware.- A RAG-Based Question-Answering Solution for Cyber-Attack Investigation and Attribution. DisA PAPERS: Recognition of Remakes and Fake Facial Images.- A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, through Feature Omission and a Committee of Classifiers.- Proposition of a Novel Type of Attacks Targeting Explainable AI Algorithms in Cybersecurity.- Data structures towards the recognition of fake news and disinformation written in Polish. CPS4CIP PAPERS: Characterizing Prediction Model Responses to Attack Inputs: A Study with Time-Series Power Consumption Data.- Best Practices - based Training for Improving Cybersecurity in Power Grids.- Proactive Cyber Security Strategies for Securing Critical National Infrastructure.- Weaponizing Disinformation Against Critical Infrastructures. SecAssure PAPERS: Compliance-driven CWE Assessment by Semantic Similarity.- Enabling Android Application Monitoring by Characterizing Security-Critical Code Fragments.- MITRE-Based APT Attack Generation and Prediction.- Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection.- Formalizing Federated Learning and Differential Privacy for GIS systems in IIIf.- AI-Assisted Assurance Profile Creation for System Security Assurance.- Attack to Defend: Gamifying the MITRE ATT&CK for Cyber Security Training using the COFELET Framework.- Canary in the Coal Mine: Identifying Cyber Threat Trends through Topic Mining -- Stack Overflow Case Study.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
