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03/18/2023
DevelSet: Deep Neural Level Set for Instant Mask Optimization
With the feature size continuously shrinking in advanced technology node...
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03/15/2023
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Lithography is fundamental to integrated circuit fabrication, necessitat...
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01/30/2023
Adversarial Attacks on Adversarial Bandits
We study a security threat to adversarial multi-armed bandits, in which ...
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08/15/2022
Rethinking Graph Neural Networks for the Graph Coloring Problem
Graph coloring, a classical and critical NP-hard problem, is the problem...
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10/18/2021
Game Redesign in No-regret Game Playing
We study the game redesign problem in which an external designer has the...
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12/16/2020
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems
Kalman Filter (KF) is widely used in various domains to perform sequenti...
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09/05/2020
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners
Successful teaching requires an assumption of how the learner learns - h...
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07/21/2020
DAMO: Deep Agile Mask Optimization for Full Chip Scale
Continuous scaling of the VLSI system leaves a great challenge on manufa...
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06/16/2020
Task-agnostic Exploration in Reinforcement Learning
Efficient exploration is one of the main challenges in reinforcement lea...
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06/16/2020
The Teaching Dimension of Q-learning
In this paper, we initiate the study of sample complexity of teaching, t...
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03/27/2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
In reward-poisoning attacks against reinforcement learning (RL), an atta...
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12/16/2019
VLSI Mask Optimization: From Shallow To Deep Learning
VLSI mask optimization is one of the most critical stages in manufactura...
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12/12/2019
CAD Tool Design Space Exploration via Bayesian Optimization
The design complexity is increasing as the technology node keeps scaling...
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10/13/2019
Policy Poisoning in Batch Reinforcement Learning and Control
We study a security threat to batch reinforcement learning and control w...
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06/25/2019
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
There is substantial interest in the use of machine learning (ML) based ...
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05/07/2019
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization
In this work, we define a collaborative and privacy-preserving machine t...
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03/23/2019
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
Data poisoning attacks aim to manipulate the model produced by a learnin...
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12/13/2018
Training Set Camouflage
We introduce a form of steganography in the domain of machine learning w...
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10/29/2018
Adversarial Attacks on Stochastic Bandits
We study adversarial attacks that manipulate the reward signals to contr...
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09/20/2018
OpenMPL: An Open Source Layout Decomposer
Multiple patterning lithography has been widely adopted in advanced tech...
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08/17/2018
Data Poisoning Attacks in Contextual Bandits
We study offline data poisoning attacks in contextual bandits, a class o...
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07/26/2018
A Unified Approximation Framework for Deep Neural Networks
Deep neural networks (DNNs) have achieved significant success in a varie...
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07/26/2018
A Unified Approximation Framework for Non-Linear Deep Neural Networks
Deep neural networks (DNNs) have achieved significant success in a varie...
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07/23/2018
Recent Advances in Convolutional Neural Network Acceleration
In recent years, convolutional neural networks (CNNs) have shown great p...
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07/18/2018
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach
In spite of maturity to the modern electronic design automation (EDA) to...
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02/25/2018