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08/08/2022
A high-resolution dynamical view on momentum methods for over-parameterized neural networks
In this paper, we present the convergence analysis of momentum methods i...
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07/14/2022
A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering
A covert attack method often used by APT organizations is the DNS tunnel...
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04/18/2022
A Convergence Analysis of Nesterov's Accelerated Gradient Method in Training Deep Linear Neural Networks
Momentum methods, including heavy-ball (HB) and Nesterov's accelerated g...
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01/01/2022
Adversarial Attack via Dual-Stage Network Erosion
Deep neural networks are vulnerable to adversarial examples, which can f...
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12/11/2021
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
We introduce a three stage pipeline: resized-diverse-inputs (RDIM), dive...
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09/01/2021
DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors
Adversarial attacks are feasible in the real world for object detection....
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07/05/2021
Provable Convergence of Nesterov Accelerated Method for Over-Parameterized Neural Networks
Despite the empirical success of deep learning, it still lacks theoretic...
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12/29/2020
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
Averaging scheme has attracted extensive attention in deep learning as w...
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07/09/2020
Weakness Analysis of Cyberspace Configuration Based on Reinforcement Learning
In this work, we present a learning-based approach to analysis cyberspac...
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07/08/2020
Making Adversarial Examples More Transferable and Indistinguishable
Many previous methods generate adversarial examples based on the fast gr...
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03/17/2014
