Results 41 to 50 of about 148,046 (305)
Multiple Classifier Systems in Adversarial Environments: "Challenges and Solutions" [PDF]
, 2009 Pattern recognition methods offer technological background for a variety of applications in a modern information society. They are however undermined by several kinds of "adversarial" misuses like email and web spam, attacks to computer networks, etc.
Gargiulo, Francesco
core +1 more source
Probabilistic Categorical Adversarial Attack & Adversarial Training
CoRR, 2022 The existence of adversarial examples brings huge concern for people to apply Deep Neural Networks (DNNs) in safety-critical tasks. However, how to generate adversarial examples with categorical data is an important problem but lack of extensive exploration.
Xu, Han +6 more
openaire +3 more sources
jeromerony/adversarial-library: First release of the library
, 2022 Library containing PyTorch implementations of various adversarial attacks and ...
Jérôme Rony
core +1 more source
INVESTIGATING JUDGE UNDER THE FRENCH CODE OF CRIMINAL PROCEDURE
Правовое государство: теория и практикаThe investigating judge was first mentioned in the French Code of Criminal Procedure in 1808, and then in other countries, including Russia, where a similar procedural person was called a court investigator and was abolished in the early years of Soviet
BELONOSOV Vladimir Olegovych
doaj +1 more source
CoRR, 2022 We develop an asymptotic theory of adversarial estimators ('A-estimators'). They generalize maximum-likelihood-type estimators ('M-estimators') as their average objective is maximized by some parameters and minimized by others. This class subsumes the continuous-updating Generalized Method of Moments, Generative Adversarial Networks and more recent ...
openaire +3 more sources
Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving [PDF]
, 2023 Deep learning networks have demonstrated outstanding performance in 2D and 3D vision tasks. However, recent research demonstrated that these networks result in failures when imperceptible perturbations are added to the input known as adversarial attacks.
Perera, Asanka +7 more
core +1 more source
Adversarial Thresholding Semi-Bandits [PDF]
, 2020 The classical multi-armed bandit is one of the most common examples of sequential decision-making, either by trading-off between exploiting and exploring arms to maximise some payoff or purely exploring arms until the optimal arm is identified.
Bower, Craig
core
Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification [PDF]
, 2023 Machine learning is key for automated detection of malicious network activity to ensure that computer networks and organizations are protected against cyber security attacks.
Panagiotis Andriotis +8 more
core +1 more source
Confrontation and the Criminal Defendant in a Hybrid Legal System: The Republic of North Macedonia
SEEU ReviewThis note analyzes the treatment of out-of-court statements in the Republic of North Macedonia’s (NMK) hybrid criminal procedure system, which blends adversarial and neoinquisitorial elements.
Siegel David M.
doaj +1 more source
Advanced Functional Materials, EarlyView.A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source