Results 171 to 180 of about 96,849 (322)
The Hollowing Out of News: The Implications of the Erosion of Public Interest Journalism
ABSTRACT This essay examines the structural erosion of public interest journalism and its implications for public accountability, institutional trust and research. Focusing on Australia, with Anglo‐American comparisons, it shows how economic, technological and regulatory disruptions have undermined investigative journalism, thereby weakening scrutiny ...
Clinton Free
wiley +1 more source
Defeating Adversarial Attacks Againt Adversarial attacks in Network Security
Ehsan Nowroozi +5 more
openalex +1 more source
Adversarial Attacks on Classifiers for Eye-based User Modelling [PDF]
Inken Hagestedt +2 more
openalex +1 more source
Strategic litigation as a challenge for deliberative democracy
Abstract Strategic litigation is a growing public concern, but remains understudied in democratic theory. In strategic litigation, collectives go to court with a political agenda that goes beyond their specific case. How should we assess the legitimacy of strategic litigation? Building on Lafont's model of deliberative democracy and Klein's distinction
Svenja Ahlhaus
wiley +1 more source
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu +5 more
doaj +1 more source
Adversarial Attacks on GMM i-vector based Speaker Verification Systems [PDF]
Xu Li +5 more
openalex +1 more source
TransFool: An Adversarial Attack against Neural Machine Translation Models [PDF]
Sahar Sadrizadeh +2 more
openalex +1 more source
In the field of remote sensing, the increasing diversity of remote sensing image modalities has made the integration of multimodal remote sensing image information a prevailing trend to increase classification accuracy.
Haifeng Li +3 more
doaj +1 more source
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks [PDF]
Jaehui Hwang +4 more
openalex +1 more source
Textile and colour defect detection using deep learning methods
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source

