CSCI 2021: Program Performance Micro-Optimizations Chris Updated: Mon Nov 29 02:18:17 PM CST 2021 1 Logistics Reading Bryant/O’Hallaron ▶ Ch 6: Memory System ▶ Ch 5: Optimization Goals ▶ Permanent Storage ▶ Optimization Overview ▶ Micro-optimizations P4 Reminders ▶ Search Benchmark: report times that are > 1e-02 ▶ Writeup: answers are 3-4 sentences, supported with […]
An Introduction to Anomaly Detection COMP90073 Security Analytics , CIS Semester 2, 2021 Outline • Usingmachinelearningincybersecurity • Basicsofmachinelearning • Introductiontoanomalydetection • IsolationForest(iForest) COMP90073 Security Analytics © University of Melbourne 2021 Why Machine Learning and Security? COMP90073 Security Analytics © University of Melbourne 2021 Conventional Cybersecurity System COMP90073 Security Analytics © University of Melbourne 2021 Adaptive
程序代写 scheme data mining algorithm An Introduction to Anomaly Detection Read More »
Week 9: Adversarial Machine Learning – Vulnerabilities (Part I) COMP90073 Security Analytics , CIS Semester 2, 2021 Overview • – – – Week 9: Adversarial Machine Learning – Vulnerabilities Definition + examples Classification Evasion attacks – – • • • Gradient-descent based approaches Automatic differentiation Real-world example Poisoning attacks Transferability COMP90073 Security Analysis Overview •
Last Updated: 2021-11-29 Mon 15:44 CSCI 2021 Project 4: Performance Optimization and Timing Due: 11:59pm Wed 12/01/2021 Approximately 3.0-4.0% of total grade Submit to Gradescope Projects are individual work: no collaboration with other students is allowed. Seek help from course staff if you get stuck for too long. CODE/TEST DISTRIBUTION: p4-code.zip CHANGELOG: Mon Nov 29
CS代写 scheme data structure algorithm Last Updated: 2021-11-29 Mon 15:44 Read More »
Clustering and Density-based Anomaly Detection COMP90073 Security Analytics , CIS Semester 2, 2021 Outline • Anomalydetectionwithclustering • Density-BasedSpatialClustering(DBSCAN) • LocalOutlierFactor(LOF) COMP90073 Security Analytics © University of Melbourne 2021 Using Clustering for Anomaly Detection • Advantages: – Theycandetectanomalieswithoutrequiringanylabelleddata. – Theyworkformanydatatypes. – Clusterscanberegardedassummariesofthedata. – Oncetheclustersareobtained,clustering-basedmethodsneedonly compare any object against the clusters to determine whether the object is
CS代写 database data mining algorithm Clustering and Density-based Anomaly Detection Read More »
Last Updated: 2021-10-22 Fri 15:54 CSCI 2021 Project 3: Assembly Coding and Debugging Due: 11:59pm Wed 11/10/2021 on Gradescope Approximately 3.0-4.0% of total grade Projects are individual work: no collaboration with other students is allowed. Seek help from course staff if you get stuck for too long. CODE/TEST DISTRIBUTION: p3-code.zip CHANGELOG: Fri Oct 22 03:48:42
计算机代考 compiler assembly assembler algorithm Last Updated: 2021-10-22 Fri 15:54 Read More »
Week 10: Adversarial Machine Learning – Vulnerabilities (Part II) Explanation, Detection & Defence COMP90073 Security Analytics , CIS Semester 2, 2021 Overview • Adversarial machine learning beyond computer vision – Audio – Natural language processing (NLP) – Malware detection • Why are machine learning models vulnerable? – Insufficient training data – Unnecessary features • How
Last Updated: 2021-09-28 Tue 15:18 CSCI 2021 Project 1: C Programming Due: 11:59pm Mon 10/04/2021 Approximately 4.0% of total grade Submit to Gradescope (Submission Now Open) Projects are individual work: no collaboration with other students is allowed. Seek help from course staff if you get stuck for too long. CODE DISTRIBUTION: p1-code.zip VIDEO OVERVIEW: Canvas
程序代写 data structure algorithm Last Updated: 2021-09-28 Tue 15:18 Read More »
Week 11: Adversarial Reinforcement Learning COMP90073 Security Analytics , CIS Semester 2, 2021 Overview • Background on reinforcement learning – Introduction – Q-learning – Application in defending against DDoS attacks • Adversarial attacks against RL models – Test time attack – Training time attack • Defence COMP90073 Security Analysis Overview • Background on reinforcement learning
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CSCI 2021: Assembly Basics and x86-64 Last Updated: Tue Oct 19 11:08:09 AM CDT 2021 1 Logistics Reading Bryant/O’Hallaron ▶ Now Ch 3.1-7: Assembly, Arithmetic, Control ▶ Later Ch 3.8-11: Arrays, Structs, Floats ▶ Any overview guide to x86-64 assembly instructions such as Brown University’s x64 Cheat Sheet Goals ▶ Assembly Basics ▶ x86-64 Overview