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09/15/2023
Understanding the limitations of self-supervised learning for tabular anomaly detection
While self-supervised learning has improved anomaly detection in compute...
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08/24/2023
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities
Spurred by the recent rapid increase in the development and distribution...
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03/10/2023
Susceptibility to Influence of Large Language Models
Two studies tested the hypothesis that a Large Language Model (LLM) can ...
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01/19/2023
Warning: Humans Cannot Reliably Detect Speech Deepfakes
Speech deepfakes are artificial voices generated by machine learning mod...
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10/20/2022
Identifying Human Strategies for Generating Word-Level Adversarial Examples
Adversarial examples in NLP are receiving increasing research attention....
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09/14/2022
A Simple Approach for State-Action Abstraction using a Learned MDP Homomorphism
Animals are able to rapidly infer from limited experience when sets of s...
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04/12/2022
Self-Supervised Losses for One-Class Textual Anomaly Detection
Current deep learning methods for anomaly detection in text rely on supe...
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09/09/2021
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
Research shows that natural language processing models are generally con...
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04/21/2021
Brittle Features May Help Anomaly Detection
One-class anomaly detection is challenging. A representation that clearl...
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02/08/2021
Escaping Stochastic Traps with Aleatoric Mapping Agents
Exploration in environments with sparse rewards is difficult for artific...
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04/13/2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
While recent efforts have shown that neural text processing models are v...
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02/18/2020
Camera Model Anonymisation with Augmented cGANs
The model of camera that was used to capture a particular photographic i...
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06/20/2019
Multiple-Identity Image Attacks Against Face-based Identity Verification
Facial verification systems are vulnerable to poisoning attacks that mak...
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06/28/2018
A New Angle on L2 Regularization
Imagine two high-dimensional clusters and a hyperplane separating them. ...
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06/19/2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations
Designing models that are robust to small adversarial perturbations of t...
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09/09/2016
Automated detection of smuggled high-risk security threats using Deep Learning
The security infrastructure is ill-equipped to detect and deter the smug...
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08/02/2016
Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise
We review the relatively immature field of automated image analysis for ...
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06/26/2016
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning
Non-intrusive inspection systems based on X-ray radiography techniques a...
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06/05/2016
Better Image Segmentation by Exploiting Dense Semantic Predictions
It is well accepted that image segmentation can benefit from utilizing m...
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03/16/2016