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07/20/2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
Backdoor attacks are serious security threats to machine learning models...
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07/14/2023
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy
Data-poisoning based backdoor attacks aim to insert backdoor into models...
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04/16/2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Personalized federated learning (PFL) aims to harness the collective wis...
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06/25/2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Backdoor learning is an emerging and important topic of studying the vul...
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05/07/2021
BasisNet: Two-stage Model Synthesis for Efficient Inference
In this work, we present BasisNet which combines recent advancements in ...
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03/29/2021
Domain-robust VQA with diverse datasets and methods but no target labels
The observation that computer vision methods overfit to dataset specific...
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07/23/2019
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
Learning to localize and name object instances is a fundamental problem ...
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11/25/2018
Learning to discover and localize visual objects with open vocabulary
To alleviate the cost of obtaining accurate bounding boxes for training ...
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07/21/2018
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text
Images and text in advertisements interact in complex, non-literal ways....
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07/10/2017
