Course
description:
Each student does independent, original work on a project under the guidance
and supervision of an instructor. This is a non-lecture based
course, main activities include reading and discussing research literature,
writing reactions on different prompts, developing web portfolio, develop
research project and presenting it to the wider audiences.
|
# |
Paper Title & Type |
Authors |
Venue and Year |
Writeup |
Reading/Discussion Date |
Suggested by |
|
1 |
Fooling
LIME and SHAP: Adversarial Attacks on Post Hoc Explanation Methods |
Slack et al. |
arXiv 2019 |
09/8/2023 |
Jeanna |
|
|
2 |
Wach et al. |
10/26/2023 |
Jeanna |
|
# |
Papers Read Individually |
Authors |
Venue |
Writeup |
Reading Date |
|
3 |
Prompt-Specific
Poisoning Attacks on Text-to-Image Generative Models |
Shan et al. |
arXiv 2023 |
|
|
|
4 |
Munn |
DOI 2022 |
|
||
|
5 |
Weller et al. |
arXiv 2017 |
|
||
|
6 |
What Firms
Must Know Before Adopting AI: The ethics of AI transparency |
Martin et al. |
SSR 2022 |
|
|
|
7 |
Towards
A Rigorous Science of Interpretable Machine Learning |
Doshi-Velez et al. |
arXiv 2017 |
|
|
|
8 |
Interpreting
Interpretability: Understanding Data Scientist' Use of Interpretability Tools
for ML |
Kaur et al. |
ACM 2020 |
|
|