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1.
Background and Occlusion Defenses Against Adversarial Examples and Adversarial Patches
by McCoyd, Michael J., Ph.D.  University of California, Berkeley. 2020: 75 pages; 28090541.
2.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
3.
Model Based Clustering Algorithms with Applications
by Wei, Wutao, Ph.D.  Purdue University. 2018: 124 pages; 10830711.
4.
Towards the Exploration and Improvement of Generative Adversarial Attacks
by Leone, Stephen, M.E.  The Cooper Union for the Advancement of Science and Art. 2020: 130 pages; 27994576.
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Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
9.
Secure Distributed Inference
by Chen, Yuan, Ph.D.  Carnegie Mellon University. 2019: 169 pages; 13883829.
10.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
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Exploring the Effects of Frontalization and Data Synthesis on Face Recognition
by Banerjee, Sandipan, Ph.D.  University of Notre Dame. 2019: 189 pages; 27750532.
13.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
14.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
15.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
16.
Malware Vectors: A Technique for Discovering Defense Logics
by Stocco, Gabriel Fortunato, Ph.D.  Dartmouth College. 2014: 121 pages; 3685144.
17.
Practical Backdoor Attacks and Defenses in Deep Learning Systems
by Yao, Yuanshun, Ph.D.  The University of Chicago. 2020: 181 pages; 28002642.
18.
Several Theorems in Error Correcting Codes
by Uurtamo, Steve, Ph.D.  State University of New York at Buffalo. 2013: 83 pages; 3554516.
19.
Byzantine survivable routing for mobile ad hoc networks
by Holmer, David, Ph.D.  The Johns Hopkins University. 2007: 101 pages; 3267877.
20.
Computer Aided Analysis of Prostate Histopathology Images
by Ren, Jian, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 142 pages; 22623293.
22.
Learning-Based Methods for Single Image Restoration and Translation
by Zhang, He, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 149 pages; 10982777.
23.
Representation Learning for Text: Transfer Learning, Decomposition, and Bias in Neural Networks
by Romanov, Alexey, Ph.D.  University of Massachusetts Lowell. 2019: 103 pages; 22624438.
24.
Game-theoretic Approaches for Generative Modeling
by Gao, Jian, Ph.D.  New York University Tandon School of Engineering. 2020: 207 pages; 27672221.
25.
An Exploration of Countermeasures to Defend Against Weaponized AI Malware Exploiting Facial Recognition
by Jalaluddin, Arooj Zafar, D.Sc.  Capitol Technology University. 2020: 197 pages; 28094887.
26.
Deep Learning Methods for Medical Image Computing
by Liao, Haofu, Ph.D.  University of Rochester. 2019: 237 pages; 27737049.
27.
Modernizing the World Trade Organization Dispute Settlement Process: Science versus Science
by Lee, Kuan Jen, LL.M.  The George Washington University. 2012: 113 pages; 1515511.
28.
Interpretable Deep Learning for Natural Language Processing
by Murdoch, William James, Ph.D.  University of California, Berkeley. 2019: 114 pages; 13880811.
29.
Reducing sexual aggression with a story: Narrating the self
by Scroggins, William Anthony, Ph.D.  University of California, Santa Barbara. 2016: 150 pages; 10159797.
30.
Weakly Supervised Visual Understanding
by Zou, Yang, Ph.D.  Carnegie Mellon University. 2020: 170 pages; 28095257.
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