Part IX — Methods for Research, Evaluation & Reproducibility
38
Deep Learning Models Overview
Safe AI for Autonomous and Agentic Systems
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Preface
Part I — Statistical Reasoning for Uncertainty, Robustness, and Evaluation
1
Introduction to Time Series Analysis
2
Deep Learning Models Overview
3
Autoregressive Moving Average (ARMA) Models
Part II — Foundations of Safe Intelligent Systems
4
Deep Learning Models Overview
5
Adversarial Machine Learning
6
White-box Evasion Attack
7
Black-box Evasion Attack
8
Poisoning Attacks
Part III — Reinforcement Learning for Agentic Systems
9
Defense against evasion attacks
10
Adversarial Machine Learning in Malware
11
Adversarial LLMs
12
Adversarial LLMs1
13
Fundamental of AI and Cybersecurity
14
Fundamental of AI and Cybersecurity
Part IV — Adversarial Machine Learning
15
Fundamental of AI and Cybersecurity
16
Fundamental of AI and Cybersecurity
17
Fundamental of AI and Cybersecurity
18
Fundamental of AI and Cybersecurity
19
Fundamental of AI and Cybersecurity
Part V — Attacks on Large Language Models
20
Fundamental of AI and Cybersecurity
21
Fundamental of AI and Cybersecurity
22
Introduction to Time Series Analysis
Part VI — Defenses for Large Language Models
23
Fundamental of AI and Cybersecurity
24
Adversarial LLMs1
25
Defense against evasion attacks
Part VII — Mechanistic Interpretability
26
Deep Learning Models Overview
27
Defense against evasion attacks
28
White-box Evasion Attack
29
White-box Evasion Attack
30
Autoregressive Moving Average (ARMA) Models
31
Introduction to Time Series Analysis
Preface
32
Fundamental of AI and Cybersecurity
Part VIII — Safe AI for High-Stakes Systems
33
Fundamental of AI and Cybersecurity
34
Fundamental of AI and Cybersecurity
35
Fundamental of AI and Cybersecurity
Part IX — Methods for Research, Evaluation & Reproducibility
23
Fundamental of AI and Cybersecurity
37
Deep Learning Models Overview
38
Deep Learning Models Overview
25
Defense against evasion attacks
24
Adversarial LLMs1
Part X — Alignment & Safe Autonomous Agents
26
Deep Learning Models Overview
27
Defense against evasion attacks
28
White-box Evasion Attack
29
White-box Evasion Attack
30
Autoregressive Moving Average (ARMA) Models
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 IX — Methods for Research, Evaluation & Reproducibility
38
Deep Learning Models Overview
38
Deep Learning Models Overview
37
Deep Learning Models Overview
References