Difference between revisions of "User:Snemoto"

From REU@MU
Jump to: navigation, search
Line 24: Line 24:
 
*Completed CITI Modules  
 
*Completed CITI Modules  
 
*Read papers:  
 
*Read papers:  
**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]
**Certified Robustness to Adversarial Examples with Differential Privacy.
+
**[https://www.computer.org/csdl/proceedings-article/sp/2019/666000a726/19skfWzmB1K Certified Robustness to Adversarial Examples with Differential Privacy]
 
*Read introductions and conclusions for papers:  
 
*Read introductions and conclusions for papers:  
 
**Latent Backdoor Attacks on Deep Neural Networks  
 
**Latent Backdoor Attacks on Deep Neural Networks  
 
**Membership Inference Attacks against Adversarially Robust Deep Learning Models  
 
**Membership Inference Attacks against Adversarially Robust Deep Learning Models  
 
**Seeing isn’t Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors
 
**Seeing isn’t Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors

Revision as of 19:53, 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