activity
20212026
most citedDefense Against Reward Poisoning Attacks in Reinforcement Learning

9 citations · 24 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.DS2023★ 2 cited

Dynamic Algorithms for Matroid Submodular Maximization

Kiarash Banihashem, Leyla Biabani, Samira Goudarzi +3

Submodular maximization under matroid and cardinality constraints are classical problems with a wide range of applications in machine learning, auction theory, and combinatorial op…

cs.DS2023

Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time

Kiarash Banihashem, Leyla Biabani, Samira Goudarzi +3

Maximizing a monotone submodular function under cardinality constraint is a core problem in machine learning and database with many basic applications, including video and data…

stat.ML2023

Optimal Sparse Recovery with Decision Stumps

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Max Springer

Decision trees are widely used for their low computational cost, good predictive performance, and ability to assess the importance of features. Though often used in practice for fe…

cs.GT2023★ 1 cited

Bandit Social Learning: Exploration under Myopic Behavior

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin +1

We study social learning dynamics motivated by reviews on online platforms. The agents collectively follow a simple multi-armed bandit protocol, but each agent acts myopically, wit…

cs.LG2023★ 6 cited

Run-Off Election: Improved Provable Defense against Data Poisoning Attacks

Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini +1

In data poisoning attacks, an adversary tries to change a model's prediction by adding, modifying, or removing samples in the training data. Recently, ensemble-based approaches for…