Results 141 to 150 of about 1,209,773 (317)
Towards Interpretable Face Morphing via Unsupervised Learning of Layer‐Wise and Local Features
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Discovering meaningful face morphing is critical for applications in image synthesis. Traditional unsupervised methods rely on global or layer‐wise representations, neglecting finer local details and thus limiting the control over specific facial attributes.
Cheng Yu, Chuan Chen, Wenmin Wang
wiley +1 more source
Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey [PDF]
Information Fusion, 2023 Hubert Baniecki, P. Biecek
semanticscholar +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen +5 more
wiley +1 more source
IEEE AccessRecent studies have shown that machine-learning models are vulnerable to adversarial attacks. Adversarial attacks are deliberate attempts to modify the input data of a machine learning model in a way that causes it to produce incorrect predictions.
Palakorn Kamnounsing +3 more
doaj +1 more source
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods [PDF]
, 2019 Arif Siddiqi
openalex +1 more source
Adversarial Attacks on Hyperbolic Networks
As hyperbolic deep learning grows in popularity, so does the need for adversarial robustness in the context of such a non-Euclidean geometry. To this end, this paper proposes hyperbolic alternatives to the commonly used FGM and PGD adversarial attacks.
Max van Spengler +2 more
openaire +2 more sources
Journal of the Royal Anthropological Institute, EarlyView.While death remains a popular topic for anthropology, relatively few ethnographic accounts consider the modern bureaucratic processes accompanying it. One such process is public health autopsy, which scholars have largely taken for granted. Existing analysis has regarded it as a form of ‘cultural brokering’ and autopsy reluctance in communities is seen,
David M.R. Orr
wiley +1 more source
Certified Accuracy and Robustness: How different architectures stand up to adversarial attacks
Intelligent Systems with ApplicationsAdversarial attacks are a concern for image classification using neural networks. Numerous methods have been created to minimize the effects of attacks, where the best defense against such attacks is through adversarial training, which has proven to be ...
Azryl Elmy Sarih +2 more
doaj +1 more source
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
Sparse attacks are to optimize the magnitude of adversarial perturbations for fooling deep neural networks (DNNs) involving only a few perturbed pixels (i.e., under the l0 constraint), suitable for interpreting the vulnerability of DNNs. However, existing solutions fail to yield interpretable adversarial examples due to their poor sparsity. Worse still,
Lin, Fudong +4 more
openaire +2 more sources
How Mexican judicial reforms may have fueled crime: Arrest trends and trust erosion
Criminology &Public Policy, EarlyView.Abstract Background Mexico rolled out state‐led criminal justice reforms between 2000 and 2017 to modernize procedures and improve rule of law. Whether these changes reduced violent crime—especially in cartel‐affected areas—remains uncertain. Aims Estimate the impact of reform implementation on homicides and arrests, and assess mechanisms related to ...
Catalina Amuedo‐Dorantes +1 more
wiley +1 more source