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08/07/2023
POSIT: Promotion of Semantic Item Tail via Adversarial Learning
In many recommender problems, a handful of popular items (e.g. movies/TV...
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01/16/2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
Deep Learning backdoor attacks have a threat model similar to traditiona...
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10/23/2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Federated Learning (FL) is a distributed learning paradigm that enables ...
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06/18/2022
DECK: Model Hardening for Defending Pervasive Backdoors
Pervasive backdoors are triggered by dynamic and pervasive input perturb...
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02/11/2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense
We develop a novel optimization method for NLPbackdoor inversion. We lev...
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02/09/2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Back-door attack poses a severe threat to deep learning systems. It inje...
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07/01/2020
Fundamental Limits of Adversarial Learning
Robustness of machine learning methods is essential for modern practical...
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06/12/2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack
We propose a novel technique that can generate natural-looking adversari...
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04/26/2020
