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06/13/2023
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
The past decade has witnessed the flourishing of a new profession as med...
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02/03/2023
How Bad is Top-K Recommendation under Competing Content Creators?
Content creators compete for exposure on recommendation platforms, and s...
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02/03/2022
Learning from a Learning User for Optimal Recommendations
In real-world recommendation problems, especially those with a formidabl...
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11/10/2021
Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms
Dominated actions are natural (and perhaps the simplest possible) multi-...
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11/08/2021
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories
Recent advancements of Deep Neural Networks (DNNs) have seen widespread ...
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10/06/2021
Learning the Optimal Recommendation from Explorative Users
We propose a new problem setting to study the sequential interactions be...
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07/21/2021
Leaking Secrets through Modern Branch Predictor in the Speculative World
Transient execution attacks that exploit speculation have raised signifi...
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02/14/2021
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning
Combinatorial optimization problem (COP) over graphs is a fundamental ch...
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12/06/2020
PAC-Learning for Strategic Classification
Machine learning (ML) algorithms may be susceptible to being gamed by in...
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07/24/2020
T-BFA: Targeted Bit-Flip Adversarial Weight Attack
Deep Neural Network (DNN) attacks have mostly been conducted through adv...
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03/30/2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
Security of machine learning is increasingly becoming a major concern du...
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09/30/2019
HolDCSim: A Holistic Simulator for Data Centers
Cloud computing based systems, that span data centers, are commonly depl...
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02/13/2019
Towards a Better Indicator for Cache Timing Channels
Recent studies highlighting the vulnerability of computer architecture t...
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02/09/2019
