Arman Zharmagambetov

40 papers A* 9B 6C 1Misc 2Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition.
CoRR
Mateusz Dziemian, Maxwell Lin, Xiaohan Fu, Micha Nowak, Nick Winter, Eliot Krzysztof Jones, Andy Zou, Lama Ahmad, Kamalika Chaudhuri, Sahana Chennabasappa, Xander Davies, Lauren Deason, Benjamin L. Edelman, Tanner Emek, Ivan Evtimov, Jim Gust, Maia Hamin, Kat He, Klaudia Krawiecka, Riccardo Patana, Neil Perry, Troy Peterson, Xiangyu Qi, Javier Rando, Zifan Wang, Zihan Wang, Spencer Whitman, Eric Winsor, Arman Zharmagambetov, Matt Fredrikson, Zico Kolter
2025 A* conf
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.
ICML
Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian
2025 J jnl
AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents.
CoRR
Arman Zharmagambetov, Chuan Guo, Ivan Evtimov, Maya Pavlova, Ruslan Salakhutdinov, Kamalika Chaudhuri
2025 J jnl
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
CoRR
Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel K. Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Perez-Pineiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press
2025 J jnl
CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs.
CoRR
Niloofar Mireshghallah, Neal Mangaokar, Narine Kokhlikyan, Arman Zharmagambetov, Manzil Zaheer, Saeed Mahloujifar, Kamalika Chaudhuri
2025 C conf
MARS: Multi-radio Architecture with ML-powered Radio Selection for Mesoscale IoT Applications.
ETFA
Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2025 J jnl
Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks.
CoRR
Sizhe Chen, Arman Zharmagambetov, David A. Wagner, Chuan Guo
2025 J jnl
RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection.
CoRR
Yuxin Wen, Arman Zharmagambetov, Ivan Evtimov, Narine Kokhlikyan, Tom Goldstein, Kamalika Chaudhuri, Chuan Guo
2025 J jnl
Safety Alignment of LMs via Non-cooperative Games.
CoRR
Anselm Paulus, Ilia Kulikov, Brandon Amos, Rémi Munos, Ivan Evtimov, Kamalika Chaudhuri, Arman Zharmagambetov
2025 A* conf
SecAlign: Defending Against Prompt Injection with Preference Optimization.
CCS
Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, David A. Wagner, Chuan Guo
2025 J jnl
WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks.
CoRR
Ivan Evtimov, Arman Zharmagambetov, Aaron Grattafiori, Chuan Guo, Kamalika Chaudhuri
2024 J jnl
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.
CoRR
Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian
2024 J jnl
Aligning LLMs to Be Robust Against Prompt Injection.
CoRR
Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, Chuan Guo
2024 A* conf
Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets.
ICML
Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2024 A* conf
Contrastive Predict-and-Search for Mixed Integer Linear Programs.
ICML
Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina
2024 A* conf
GenCO: Generating Diverse Designs with Combinatorial Constraints.
ICML
Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
2024 J jnl
MARS: Multi-radio Architecture with Radio Selection using Decision Trees for emerging mesoscale CPS/IoT applications.
CoRR
Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2024 — conf
Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features.
HI-AI@KDD
Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2024 J jnl
Sparse oblique decision trees: a tool to understand and manipulate neural net features.
Data Min. Knowl. Discov.
Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2024 — conf
To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning.
EMNLP (System Demonstrations)
Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine T. Kao, Maryam Fazel-Zarandi, Yuandong Tian
2024 J jnl
To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning.
CoRR
Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine T. Kao, Maryam Fazel-Zarandi, Yuandong Tian
2023 J jnl
GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature.
CoRR
Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023 A* conf
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information.
NeurIPS
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023 J jnl
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information.
CoRR
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023 A* conf
Towards Better Decision Forests: Forest Alternating Optimization.
CVPR
Miguel Á. Carreira-Perpiñán, Magzhan Gabidolla, Arman Zharmagambetov
2022 B conf
Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees.
IJCNN
Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2022 Misc conf
Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology.
ICASSP
Arman Zharmagambetov, Qingming Tang, Chieh-Chi Kao, Qin Zhang, Ming Sun, Viktor Rozgic, Jasha Droppo, Chao Wang
2022 — —
Learning Tree-Based Models with Manifold Regularization: Alternating Optimization Algorithms
Arman Zharmagambetov
2022 A* conf
Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization.
NeurIPS
Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2021 B conf
A Simple, Effective Way To Improve Neural Net Classification: Ensembling Unit Activations With A Sparse Oblique Decision Tree.
ICIP
Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2021 B conf
Improved Boosted Regression Forests Through Non-Greedy Tree Optimization.
IJCNN
Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2021 B conf
Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization.
ICIP
Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2021 Misc conf
Learning a Tree of Neural Nets.
ICASSP
Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2021 B conf
Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison.
IJCNN
Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2021 — conf
Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large.
EMNLP (1)
Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2021 J jnl
Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features.
CoRR
Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2021 B conf
Understanding And Manipulating Neural Net Features Using Sparse Oblique Classification Trees.
ICIP
Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2020 — conf
Ensembles of Bagged TAO Trees Consistently Improve over Random Forests, AdaBoost and Gradient Boosting.
FODS
Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2020 A* conf
Smaller, more accurate regression forests using tree alternating optimization.
ICML
Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2019 J jnl
An Experimental Comparison of Old and New Decision Tree Algorithms.
CoRR
Arman Zharmagambetov, Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán