Results 181 to 190 of about 14,798 (256)

Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks. [PDF]

Sensors (Basel), 2022
Zhang J, Maeda K, Ogawa T, Haseyama M.
europepmc   +1 more source

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)

Daya Kumar, Abhijith Sharma, Apurva Narayan   +2 more
openalex   +2 more sources

Hard-Label Black-Box Adversarial Attack on Deep Electrocardiogram Classifier [PDF]

, 2020
Jonathan Lam, Pengrui Quan, Jiamin Xu, Jeya Vikranth Jeyakumar, Mani Srivastava   +4 more
openalex   +1 more source

Dialogue of the Deaf: How Deliberation With Discontented Citizens May Hopelessly Fail

Public Administration, EarlyView.
ABSTRACT Governments employ public deliberation in response to citizen discontent, intending to achieve consensus, mutual understanding, and clarification. However, some studies suggest that deliberation can devolve into a “dialogue of the deaf,” where parties talk past each other, counterproductively leading to conflict, distrust, and confusion ...
Anouk van Twist
wiley   +1 more source

Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm. [PDF]

Sci Rep
Labib SMFR, Mondal JJ, Manab MA, Xiao X, Newaz S.   +4 more
europepmc   +1 more source

Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning. [PDF]

J Imaging, 2022
Minagi A, Hirano H, Takemoto K.
europepmc   +1 more source

ASSESSING THE EFFECTIVENESS OF DEFENSES AGAINST ADVERSARIAL ATTACKS IN NEURAL NETWORKS

, 2022
Manavnath Manoj, Suryansh Chak, Satender Lamba, Tavish Chahlia, Harish Parthasarathy   +4 more
openalex   +1 more source

AI in Public Decision‐Making: A Philosophical and Practical Framework for Assessing and Weighing Harm and Benefit

Public Administration, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly used in public decision‐making; yet existing governance tools often lack clear definitions of harm and benefit, practical methods for weighing competing values, and guidance for resolving value conflicts.
Karl de Fine Licht, Anna Folland
wiley   +1 more source

A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing. [PDF]

Sci Rep
Yinusa A, Faezipour M.
europepmc   +1 more source

Universal adversarial attacks on deep neural networks for medical image classification. [PDF]

BMC Med Imaging, 2021
Hirano H, Minagi A, Takemoto K.
europepmc   +1 more source