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06/22/2023
Towards quantum enhanced adversarial robustness in machine learning
Machine learning algorithms are powerful tools for data driven tasks suc...
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05/18/2023
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals
The emergence of social media as one of the main platforms for people to...
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03/23/2023
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks
The analysis of distributed techniques is often focused upon their effic...
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03/15/2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
Protecting personal data against the exploitation of machine learning mo...
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11/23/2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Machine learning (ML) methods such as artificial neural networks are rap...
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10/13/2022
COLLIDER: A Robust Training Framework for Backdoor Data
Deep neural network (DNN) classifiers are vulnerable to backdoor attacks...
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09/13/2022
Adversarial Coreset Selection for Efficient Robust Training
Neural networks are vulnerable to adversarial attacks: adding well-craft...
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12/01/2021
ℓ_∞-Robustness and Beyond: Unleashing Efficient Adversarial Training
Neural networks are vulnerable to adversarial attacks: adding well-craft...
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09/24/2021
Local Intrinsic Dimensionality Signals Adversarial Perturbations
The vulnerability of machine learning models to adversarial perturbation...
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02/11/2021
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
With the rapid evolution of social media, fake news has become a signifi...
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12/04/2020
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize
The predict+optimize problem combines machine learning ofproblem coeffic...
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11/16/2020
Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns
Contrast pattern mining (CPM) aims to discover patterns whose support in...
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08/21/2020
Defending Distributed Classifiers Against Data Poisoning Attacks
Support Vector Machines (SVMs) are vulnerable to targeted training data ...
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08/21/2020
Defending Regression Learners Against Poisoning Attacks
Regression models, which are widely used from engineering applications t...
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07/24/2020
MurTree: Optimal Classification Trees via Dynamic Programming and Search
Decision tree learning is a widely used approach in machine learning, fa...
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07/23/2020
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
Many learning tasks involve multi-modal data streams, where continuous d...
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07/15/2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows
Deep learning classifiers are susceptible to well-crafted, imperceptible...
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07/07/2020
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media
Although significant effort has been applied to fact-checking, the preva...
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07/06/2020
Black-box Adversarial Example Generation with Normalizing Flows
Deep neural network classifiers suffer from adversarial vulnerability: w...
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06/18/2020
OMBA: User-Guided Product Representations for Online Market Basket Analysis
Market Basket Analysis (MBA) is a popular technique to identify associat...
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02/11/2020
Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams
Events detected from social media streams often include early signs of a...
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01/15/2020
Invertible Generative Modeling using Linear Rational Splines
Normalizing flows attempt to model an arbitrary probability distribution...
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10/23/2019
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity
Building spatiotemporal activity models for people's activities in urban...
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02/25/2019
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking
Recent studies have demonstrated that reinforcement learning (RL) agents...
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11/07/2018
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data
Subspace clustering aims to find groups of similar objects (clusters) th...
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08/17/2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking
Despite the successful application of machine learning (ML) in a wide ra...
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01/08/2018
Online Cluster Validity Indices for Streaming Data
Cluster analysis is used to explore structure in unlabeled data sets in ...
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07/28/2017
Toward the Starting Line: A Systems Engineering Approach to Strong AI
Artificial General Intelligence (AGI) or Strong AI aims to create machin...
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02/16/2015
