Difference between revisions of "User:Snemoto"

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**[https://dl.acm.org/doi/10.1145/3319535.3354209 Latent Backdoor Attacks on Deep Neural Networks]
 
**[https://dl.acm.org/doi/10.1145/3319535.3354209 Latent Backdoor Attacks on Deep Neural Networks]
 
**[https://ieeexplore.ieee.org/abstract/document/8844607?casa_token=Vuy2khB6fo4AAAAA:5yHwrbSaHy_pTaLS0_poE87Ff8-htRLSqHOngkfFUVnE11AlBMFU-wCogOyMj3P3SJlGdn9R Membership Inference Attacks against Adversarially Robust Deep Learning Models]
 
**[https://ieeexplore.ieee.org/abstract/document/8844607?casa_token=Vuy2khB6fo4AAAAA:5yHwrbSaHy_pTaLS0_poE87Ff8-htRLSqHOngkfFUVnE11AlBMFU-wCogOyMj3P3SJlGdn9R Membership Inference Attacks against Adversarially Robust Deep Learning Models]
**Seeing isn’t Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors
+
**[https://dl.acm.org/doi/10.1145/3319535.3354259 Seeing isn’t Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors]
 +
**[https://www.computer.org/csdl/proceedings-article/sp/2019/666000a530/19skfH8dcqc Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks]

Revision as of 20:00, 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