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07/05/2023
An analysis of scam baiting calls: Identifying and extracting scam stages and scripts
Phone scams remain a difficult problem to tackle due to the combination ...
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04/06/2023
Those Aren't Your Memories, They're Somebody Else's: Seeding Misinformation in Chat Bot Memories
One of the new developments in chit-chat bots is a long-term memory mech...
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01/09/2023
Privacy-Preserving Record Linkage for Cardinality Counting
Several applications require counting the number of distinct items in th...
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08/10/2022
Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure
Privacy-preserving estimation of counts of items in streaming data finds...
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06/30/2022
Fairness and Cost Constrained Privacy-Aware Record Linkage
Record linkage algorithms match and link records from different database...
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05/17/2022
How Not to Handle Keys: Timing Attacks on FIDO Authenticator Privacy
This paper presents a timing attack on the FIDO2 (Fast IDentity Online) ...
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05/13/2022
Privacy Preserving Release of Mobile Sensor Data
Sensors embedded in mobile smart devices can monitor users' activity wit...
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04/03/2022
A Differentially Private Framework for Deep Learning with Convexified Loss Functions
Differential privacy (DP) has been applied in deep learning for preservi...
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03/12/2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
With an increase in low-cost machine learning APIs, advanced machine lea...
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02/03/2021
All Infections are Not Created Equal: Time-Sensitive Prediction of Malware Generated Network Attacks
Many techniques have been proposed for quickly detecting and containing ...
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08/20/2020
Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning
Data holders are increasingly seeking to protect their user's privacy, w...
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07/22/2020
Exploiting Behavioral Side-Channels in Observation Resilient Cognitive Authentication Schemes
Observation Resilient Authentication Schemes (ORAS) are a class of share...
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03/25/2020
Unsupervised Learning for security of Enterprise networks by micro-segmentation
Micro-segmentation is a network security technique that requires deliver...
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03/18/2020
Predicting Performance of Asynchronous Differentially-Private Learning
We consider training machine learning models using Training data located...
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01/29/2020
Modelling and Quantifying Membership Information Leakage in Machine Learning
Machine learning models have been shown to be vulnerable to membership i...
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01/13/2020
On the Resilience of Biometric Authentication Systems against Random Inputs
We assess the security of machine learning based biometric authenticatio...
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08/28/2019
On Inferring Training Data Attributes in Machine Learning Models
A number of recent works have demonstrated that API access to machine le...
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06/24/2019
The Value of Collaboration in Convex Machine Learning with Differential Privacy
In this paper, we apply machine learning to distributed private data own...
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06/01/2019
A Longitudinal Analysis of Online Ad-Blocking Blacklists
Websites employ third-party ads and tracking services leveraging cookies...
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05/22/2019
DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware via Weighted Directed Call Graph Modelling
With the number of new mobile malware instances increasing by over 50% a...
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04/24/2019
A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists
This paper focuses on reporting of Internet malicious activity (or mal-a...
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02/04/2019
Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula
We propose a generic mechanism to efficiently release differentially pri...
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01/23/2019
The Chain of Implicit Trust: An Analysis of the Web Third-party Resources Loading
The Web is a tangled mass of interconnected services, where websites imp...
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09/19/2018
Gwardar: Towards Protecting a Software-Defined Network from Malicious Network Operating Systems
A Software-Defined Network (SDN) controller (aka. Network Operating Syst...
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07/07/2018
Gargoyle: A Network-based Insider Attack Resilient Framework for Organizations
`Anytime, Anywhere' data access model has become a widespread IT policy ...
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06/06/2018
d_X-Private Mechanisms for Linear Queries
Differential Privacy is one of the strongest privacy guarantees, which a...
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04/01/2018
Software-Defined Network (SDN) Data Plane Security: Issues, Solutions and Future Directions
Software-Defined Network (SDN) radically changes the network architectur...
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12/06/2017
Optimized Deployment of Autonomous Drones to Improve User Experience in Cellular Networks
Modern wireless traffic demand pushes Internet Service Providers to deve...
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10/15/2017
On the Fundamental Characteristics of Ultra-Dense Small Cell Networks
In order to cope with the forecasted 1000x increase in wireless capacity...
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08/14/2017
uStash: a Novel Mobile Content Delivery System for Improving User QoE in Public Transport
Mobile data traffic is growing exponentially and it is even more challen...
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07/05/2017
