Search Results for author: Neil Fendley

Found 7 papers, 2 papers with code

Continual Reinforcement Learning with TELLA

no code implementations8 Aug 2022 Neil Fendley, Cash Costello, Eric Nguyen, Gino Perrotta, Corey Lowman

Training reinforcement learning agents that continually learn across multiple environments is a challenging problem.

Continual Learning reinforcement-learning +1

Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis

no code implementations11 Dec 2020 Nathan Drenkow, Neil Fendley, Philippe Burlina

We present a technique that utilizes properties of random projections to characterize the behavior of clean and adversarial examples across a diverse set of subspaces.

Adversarial Attack Detection

Addressing Visual Search in Open and Closed Set Settings

no code implementations11 Dec 2020 Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz

We interpret both detection problems through a probabilistic, Bayesian lens, whereby the objectness maps produced by our method serve as priors in a maximum-a-posteriori approach to the detection step.

object-detection Object Detection

Jacks of All Trades, Masters Of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks

no code implementations1 May 2020 Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow

We focus on the development of effective adversarial patch attacks and -- for the first time -- jointly address the antagonistic objectives of attack success and obtrusiveness via the design of novel semi-transparent patches.

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models

1 code implementation13 Mar 2020 Kiran Karra, Chace Ashcraft, Neil Fendley

In this paper, we introduce the TrojAI software framework, an open source set of Python tools capable of generating triggered (poisoned) datasets and associated deep learning (DL) models with trojans at scale.

Adversarial Examples in Remote Sensing

no code implementations28 May 2018 Wojciech Czaja, Neil Fendley, Michael Pekala, Christopher Ratto, I-Jeng Wang

This paper considers attacks against machine learning algorithms used in remote sensing applications, a domain that presents a suite of challenges that are not fully addressed by current research focused on natural image data such as ImageNet.

Satellite Image Classification

Functional Map of the World

7 code implementations CVPR 2018 Gordon Christie, Neil Fendley, James Wilson, Ryan Mukherjee

We present an analysis of the dataset along with baseline approaches that reason about metadata and temporal views.

Temporal Sequences

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