Part III — Attacks on Large Language Models
14
Fundamental of AI and Cybersecurity
Safe AI for Cyber-Physical & Intelligent Systems
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Preface
Part I — Foundations of Safe Intelligent Systems
1
Introduction to Time Series Analysis
2
Deep Learning Models Overview
3
Autoregressive Moving Average (ARMA) Models
Part II — Adversarial Machine Learning
4
Deep Learning Models Overview
5
Adversarial Machine Learning
6
White-box Evasion Attack
7
Black-box Evasion Attack
8
Poisoning Attacks
Part III — Attacks on Large Language Models
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Defense against evasion attacks
10
Adversarial Machine Learning in Malware
11
Adversarial LLMs
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Adversarial LLMs1
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Fundamental of AI and Cybersecurity
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Fundamental of AI and Cybersecurity
Part IV — Defenses for Large Language Models
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Fundamental of AI and Cybersecurity
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Fundamental of AI and Cybersecurity
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Fundamental of AI and Cybersecurity
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Fundamental of AI and Cybersecurity
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Fundamental of AI and Cybersecurity
Part V — Safe AI for Cyber-Physical Systems
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Fundamental of AI and Cybersecurity
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Fundamental of AI and Cybersecurity
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Introduction to Time Series Analysis
Part VI — Methods for Research, Evaluation & Reproducibility
23
Fundamental of AI and Cybersecurity
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Adversarial LLMs1
25
Defense against evasion attacks
Part VII — Alignment & Safe Autonomous Agents
26
Deep Learning Models Overview
27
Defense against evasion attacks
28
White-box Evasion Attack
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White-box Evasion Attack
30
Autoregressive Moving Average (ARMA) Models
31
Introduction to Time Series Analysis
Preface
32
Fundamental of AI and Cybersecurity
References
Appendices
A
Weighted least squares
B
Generalized least squares
C
Synchrony of parametric trends
D
Analysis of precipitation extremes and climate projections
E
Practice exercises
Part III — Attacks on Large Language Models
14
Fundamental of AI and Cybersecurity
14
Fundamental of AI and Cybersecurity
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Fundamental of AI and Cybersecurity
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Fundamental of AI and Cybersecurity