Tanmay Gautam

17 papers A* 2C 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`—`	Advancements in Efficient Training Strategies for Modern Deep Learning: From Implicit Deep Learning to Language Models and Beyond Tanmay Gautam
2024	A*	`conf`	Ranking Manipulation for Conversational Search Engines. EMNLP Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
2024	J	`jnl`	Ranking Manipulation for Conversational Search Engines. CoRR Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
2024	—	`conf`	Soft convex quantization: revisiting Vector Quantization with convex optimization. L4DC Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
2024	A*	`conf`	Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models. ICML Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha
2024	J	`jnl`	Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models. CoRR Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha
2023	J	`jnl`	Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training. SIAM J. Math. Data Sci. Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
2023	—	`conf`	Meta-Learning Parameterized First-Order Optimizers Using Differentiable Convex Optimization. CDC Tanmay Gautam, Samuel Pfrommer, Somayeh Sojoudi
2023	J	`jnl`	Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization. CoRR Tanmay Gautam, Samuel Pfrommer, Somayeh Sojoudi
2023	J	`jnl`	Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization. CoRR Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
2022	—	`conf`	A Sequential Greedy Approach for Training Implicit Deep Models. CDC Tanmay Gautam, Brendon G. Anderson, Somayeh Sojoudi, Laurent El Ghaoui
2022	J	`jnl`	An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models. CoRR Brendon G. Anderson, Tanmay Gautam, Somayeh Sojoudi
2022	J	`jnl`	Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time Algorithms and Adversarial Training. CoRR Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
2022	C	`conf`	Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training. ACC Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi
2022	—	`conf`	Safe Reinforcement Learning with Chance-constrained Model Predictive Control. L4DC Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi
2021	J	`jnl`	Practical Convex Formulation of Robust One-hidden-layer Neural Network Training. CoRR Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi
2021	J	`jnl`	Safe Reinforcement Learning with Chance-constrained Model Predictive Control. CoRR Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi

2023 — conf

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

AISec

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz

2026 — preprint

CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.

arXiv

Matti Schulze, Thorsten Holz, Felix C. Freiling