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03/07/2023
Exploring the Limits of Indiscriminate Data Poisoning Attacks
Indiscriminate data poisoning attacks aim to decrease a model's test acc...
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09/07/2022
Legal Detection of AI Products Based on Formal Argumentation and Legal Ontology
Ontology is a popular method for knowledge representation in different d...
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04/19/2022
Indiscriminate Data Poisoning Attacks on Neural Networks
Data poisoning attacks, in which a malicious adversary aims to influence...
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10/23/2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
We address the problem of image-based crowd counting. In particular, we ...
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07/15/2020
Few-shot Scene-adaptive Anomaly Detection
We address the problem of anomaly detection in videos. The goal is to id...
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12/03/2019
Structure Learning with Similarity Preserving
Leveraging on the underlying low-dimensional structure of data, low-rank...
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09/05/2019
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
Anomaly detection in videos aims at reporting anything that does not con...
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03/11/2019
