Difference between revisions of "User:Snemoto"
From REU@MU
| Line 22: | Line 22: | ||
*Attended Responsible Conduct of Research Training | *Attended Responsible Conduct of Research Training | ||
*Attended Technical Writing instruction session | *Attended Technical Writing instruction session | ||
| − | *Completed CITI Modules | + | *Completed CITI Modules |
| + | *Began tutorial on Temi Robot SDK | ||
*Read papers: | *Read papers: | ||
**[https://dl.acm.org/doi/10.1145/3319535.3345660 Procedural Noise Adversarial Examples For Black-Box Attacks on Deep Convolutional Networks] | **[https://dl.acm.org/doi/10.1145/3319535.3345660 Procedural Noise Adversarial Examples For Black-Box Attacks on Deep Convolutional Networks] | ||
Latest revision as of 20:03, 12 June 2020
Shota Nemoto
University: Case Western Reserve University
Currently pursuing a Bachelor's degree in Computer Science
Currently working with Dr. Perouli on the project: Identifying Appropriate Machine Learning Models for Multi Robot Secure Coordination in a Healthcare Facility.
Weekly Logs
Week 1
- Read papers on neural network inversion and HopSkipJump attacks.
- Read abstracts for HumptyDumpty and MemGuard papers
- Attended Orientation
- Filled out pre-REU survey
- Reviewed Python skills
- Learned basics of Pandas and DataFrame manipulation
- Learned basics of creating and evaluating machine learning models
- Learned basic security considerations for applications
Week 2
- Attended Responsible Conduct of Research Training
- Attended Technical Writing instruction session
- Completed CITI Modules
- Began tutorial on Temi Robot SDK
- Read papers:
- Read introductions and conclusions for papers:
- Latent Backdoor Attacks on Deep Neural Networks
- Membership Inference Attacks against Adversarially Robust Deep Learning Models
- Seeing isn’t Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors
- Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
