Date  Topic 
Reading


Part I: Background  
Tuesday January 14 

Thursday January 16 
 
Tuesday January 21 
 
Thursday January 23 

Tuesday January 28 
 
Thursday January 30 
 
Tuesday February 4 
 
Thursday February 6 
Homework 1 due Background: Convolutional Neural Networks I  
Tuesday February 11 
 
Part II: Explanations  
Thursday February 13 
 
Tuesday February 18 
Paper Discussion: Blackbox Predictions  
Thursday February 20 
Paper Discussion: Axiomatic Attribution for Deep Networks  
Tuesday February 25 
TBD  
Thursday February 27 
Paper Discussion: InfluenceDirected Explanations for CNNsGuest speaker:
Klas Leino  
Tuesday March 3 
(approximate date) Homework 2 due (approximate date) Homework 3 out Paper Discussion: Shapley Values and Cooperative Game TheoryGuest speaker:
Ankur Taly  
Thursday March 5 
Paper Discussion: Conceptbased ExplanationsGuest speaker:
Amirata Ghorbani  
Tuesday March 10 
No Class: Spring Break  
Thursday March 12 
No Class: Spring Break  
Part III: Adversarial Learning  
Tuesday March 17 
(approximate date) Homework 3 due (approximate date) Homework 4 out Paper Discussion: Adversarial LearningGuest speaker:
Nicolas Papernot  
Thursday March 19 
Paper Discussion: Generative Adversarial Nets  
Tuesday March 24 
Paper Discussion: Realworld Adversarial AttacksGuest speaker:
Mahmood Sharif  
Thursday March 26 
Paper Discussion: Robustness and Adversarial LearningGuest speaker:
Nicholas Carlini  
Tuesday March 31 
TBD  
Part IV: Privacy and Fairness  
Thursday April 2 
Paper Discussion: Whitebox Inference AttacksGuest speaker:
Milad Nasr  
Tuesday April 7 
(approximate date) Homework 4 due (approximate date) Homework 5 out Paper Discussion: Fairness in Deep Learning  
Thursday April 9 
Background: Recurrent Neural Networks I  
Tuesday April 14 
Background: Recurrent Neural Networks II  
Thursday April 16 
No Class: CMU Carnival  
Tuesday April 21 
Paper Discussion: Bias In Word EmbeddingsGuest speaker:
KaiWei Chang  
Thursday April 23 
Background: Recurrent Neural Networks III  
Tuesday April 28 
(approximate date) Homework 5 due Paper Discussion: Bias in NLP tasksGuest speaker:
Caleb Lu  
Thursday April 30 
TBD 
* All schedules are subject to change over the course.