Defending Against Deep Learning-Based Traffic Fingerprinting Attacks With Adversarial Examples
In an increasingly digital and interconnected world, online anonymity and privacy are
paramount issues for Internet users. To address this, tools like The Onion Router (Tor) offer …
paramount issues for Internet users. To address this, tools like The Onion Router (Tor) offer …
Forming Adversarial Example Attacks Against Deep Neural Networks With Reinforcement Learning
M Akers, A Barton - Computer, 2024 - ieeexplore.ieee.org
Forming Adversarial Example Attacks Against Deep Neural Networks With Reinforcement
Learning Page 1 88 COMPUTER PUBLISHED BY THE IEEE COMPUTER SOCIETY US …
Learning Page 1 88 COMPUTER PUBLISHED BY THE IEEE COMPUTER SOCIETY US …
[PDF][PDF] Defending Against Adversarial Examples in Deep Neural Network Classifiers
A Barton, E Jatho III - 2021 - calhoun.nps.edu
The Navy and Department of Defense are prioritizing the rapid adoption of Artificial
Intelligence (AI) across warfare domains to keep technological advantage in the United …
Intelligence (AI) across warfare domains to keep technological advantage in the United …
[PDF][PDF] Detecting and Defending against Different Families of Adversarial Example Attacks
S Kallis, NC Rowe - 2023 - apps.dtic.mil
Adversarial example attacks alter an image so the image appears largely unaltered to
human eyes, but image-recognition models will misclassify it. This is a common type of …
human eyes, but image-recognition models will misclassify it. This is a common type of …
[PDF][PDF] Exploring Neural Network Defenses with Adversarial Mixup
G Andrianopoulos, VA Berzins - 2023 - apps.dtic.mil
Neural networks (NNs) are vulnerable to adversarial examples, and extensive research is
aimed at detecting them. However, detecting adversarial examples is not easy, even with the …
aimed at detecting them. However, detecting adversarial examples is not easy, even with the …
Attacking Neural Networks with High Entropy Input Sampling
DS DeRidder - 2022 - apps.dtic.mil
Deep learning is becoming a technology central to the safety and accuracy of many types of
systems. Unfortunately, attackers can create adversarial examples that manipulate Deep …
systems. Unfortunately, attackers can create adversarial examples that manipulate Deep …
Defending Against Deep Learning-Based Video Fingerprinting Attacks with Adversarial Examples
BA Hayden - 2022 - apps.dtic.mil
In an increasingly digital world, online anonymity and privacy is a paramount issue for
internet users. Tools like The Onion Router (Tor) offer users anonymous internet browsing …
internet users. Tools like The Onion Router (Tor) offer users anonymous internet browsing …