Beyond Centrality - Classifying Topological Significance Using Backup Efficiency and Alternative Paths. - Yuval Shavitt; Yaron Singer (Networking, 2007)

On the Hardness of Being Truthful. - Christos H. Papadimitriou; Michael Schapira; Yaron Singer (FOCS, 2008)

Trading potatoes in distributed multi-tier routing systems. - Yuval Shavitt; Yaron Singer (NetEcon, 2008)

Inapproximability of Combinatorial Public Projects. - Michael Schapira; Yaron Singer (WINE, 2008)

VC v. VCG: Inapproximability of Combinatorial Auctions via Generalizations of the VC Dimension - Elchanan Mossel; Christos H. Papadimitriou; Michael Schapira; Yaron Singer (CoRR, 2009)

Budget Feasible Mechanisms. - Yaron Singer (FOCS, 2010)

Limitations and Possibilities of Path Trading between Autonomous Systems. - Yuval Shavitt; Yaron Singer (INFOCOM, 2010)

Computation and incentives in combinatorial public projects. - David Buchfuhrer; Michael Schapira; Yaron Singer (EC, 2010)

Inapproximability for VCG-Based Combinatorial Auctions. - David Buchfuhrer; Shaddin Dughmi; Hu Fu 001; Robert Kleinberg; Elchanan Mossel; Christos H. Papadimitriou; Michael Schapira; Yaron Singer; Christopher Umans (SODA, 2010)

Budget Feasible Mechanisms - Christos H. Papadimitriou; Yaron Singer (CoRR, 2010)

Pricing Tasks in Online Labor Markets. - Yaron Singer; Manas Mittal (Human Computation, 2011)

Mechanisms for complement-free procurement. - Shahar Dobzinski; Christos H. Papadimitriou; Yaron Singer (EC, 2011)

Incentives, Computation, and Networks: Limitations and Possibilities of Algorithmic Mechanism Design. - Yaron Singer (2011)

Efficiency-Revenue Trade-Offs in Auctions. - Ilias Diakonikolas; Christos H. Papadimitriou; George Pierrakos; Yaron Singer (ICALP (2), 2012)

Learning on a budget: posted price mechanisms for online procurement. - Ashwinkumar Badanidiyuru; Robert Kleinberg; Yaron Singer (EC, 2012)

How to win friends and influence people, truthfully: influence maximization mechanisms for social networks. - Yaron Singer (WSDM, 2012)

Adaptive Seeding in Social Networks. - Lior Seeman; Yaron Singer (FOCS, 2013)

Equilibrium in Combinatorial Public Projects. - Brendan Lucier; Yaron Singer; Vasilis Syrgkanis; Éva Tardos (WINE, 2013)

Pricing mechanisms for crowdsourcing markets. - Yaron Singer; Manas Mittal (WWW, 2013)

Budget feasible mechanism design. - Yaron Singer (SIGecom Exch., 2013)

Influence at Scale: Distributed Computation of Complex Contagion in Networks. - Brendan Lucier; Joel Oren; Yaron Singer (KDD, 2015)

Learnability of Influence in Networks. - Harikrishna Narasimhan; David C. Parkes; Yaron Singer (NIPS, 2015)

Information-theoretic lower bounds for convex optimization with erroneous oracles. - Yaron Singer; Jan Vondrák (NIPS, 2015)

Mechanisms for Fair Attribution. - Eric Balkanski; Yaron Singer (EC, 2015)

Approximability of Adaptive Seeding under Knapsack Constraints. - Aviad Rubinstein; Lior Seeman; Yaron Singer (EC, 2015)

The Power of Random Neighbors in Social Networks. - Silvio Lattanzi; Yaron Singer (WSDM, 2015)

Scalable Methods for Adaptively Seeding a Social Network. - Thibaut Horel; Yaron Singer (WWW, 2015)

Stabilizing Route Selection in BGP. - Brighten Godfrey; Matthew Caesar 001; Ian Haken; Yaron Singer; Scott Shenker; Ion Stoica (IEEE/ACM Trans. Netw., 2015)

Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization. - Eric Balkanski; Baharan Mirzasoleiman; Andreas Krause 001; Yaron Singer (ICML, 2016)

The Power of Optimization from Samples. - Eric Balkanski; Aviad Rubinstein; Yaron Singer (NIPS, 2016)

Maximization of Approximately Submodular Functions. - Thibaut Horel; Yaron Singer (NIPS, 2016)

Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions. - Ashwinkumar Badanidiyuru; Christos H. Papadimitriou; Aviad Rubinstein; Lior Seeman; Yaron Singer (SODA, 2016)

Influence maximization through adaptive seeding. - Yaron Singer (SIGecom Exch., 2016)

The Sample Complexity of Optimizing a Convex Function. - Eric Balkanski; Yaron Singer (COLT, 2017)

Submodular Optimization under Noise. - Avinatan Hassidim; Yaron Singer (COLT, 2017)

Robust Guarantees of Stochastic Greedy Algorithms. - Avinatan Hassidim; Yaron Singer (ICML, 2017)

The Importance of Communities for Learning to Influence. - Eric Balkanski; Nicole Immorlica; Yaron Singer (NIPS, 2017)

Minimizing a Submodular Function from Samples. - Eric Balkanski; Yaron Singer (NIPS, 2017)

Robust Optimization for Non-Convex Objectives. - Robert S. Chen; Brendan Lucier; Yaron Singer; Vasilis Syrgkanis (NIPS, 2017)

Posting Prices with Unknown Distributions. - Moshe Babaioff; Liad Blumrosen; Shaddin Dughmi; Yaron Singer (ACM Trans. Economics and Comput., 2017)

Approximation Guarantees for Adaptive Sampling. - Eric Balkanski; Yaron Singer (ICML, 2018)

Learning Diffusion using Hyperparameters. - Dimitris Kalimeris; Yaron Singer; Karthik Subbian; Udi Weinsberg (ICML, 2018)

Learning to Optimize Combinatorial Functions. - Nir Rosenfeld; Eric Balkanski; Amir Globerson; Yaron Singer (ICML, 2018)

Non-monotone Submodular Maximization in Exponentially Fewer Iterations. - Eric Balkanski; Adam Breuer; Yaron Singer (NeurIPS, 2018)

Optimization for Approximate Submodularity. - Yaron Singer; Avinatan Hassidim (NeurIPS, 2018)

The adaptive complexity of maximizing a submodular function. - Eric Balkanski; Yaron Singer (STOC, 2018)

Parallelization does not Accelerate Convex Optimization: Adaptivity Lower Bounds for Non-smooth Convex Minimization. - Eric Balkanski; Yaron Singer (CoRR, 2018)

Robust Classification of Financial Risk. - Suproteem K. Sarkar; Kojin Oshiba; Daniel Giebisch; Yaron Singer (CoRR, 2018)

Robust Influence Maximization for Hyperparametric Models. - Dimitris Kalimeris; Gal Kaplun; Yaron Singer (ICML, 2019)

Fast Parallel Algorithms for Statistical Subset Selection Problems. - Sharon Qian; Yaron Singer (NeurIPS, 2019)

An Exponential Speedup in Parallel Running Time for Submodular Maximization without Loss in Approximation. - Eric Balkanski; Aviad Rubinstein; Yaron Singer (SODA, 2019)

Fast Parallel Algorithms for Feature Selection. - Sharon Qian; Yaron Singer (CoRR, 2019)

Robust Attacks against Multiple Classifiers. - Juan C. Perdomo; Yaron Singer (CoRR, 2019)

The FAST Algorithm for Submodular Maximization. - Adam Breuer; Eric Balkanski; Yaron Singer (ICML, 2020)

Predicting Choice with Set-Dependent Aggregation. - Nir Rosenfeld; Kojin Oshiba; Yaron Singer (ICML, 2020)

An Optimal Elimination Algorithm for Learning a Best Arm. - Avinatan Hassidim; Ron Kupfer; Yaron Singer (NeurIPS, 2020)

The Adaptive Complexity of Maximizing a Gross Substitutes Valuation. - Ron Kupfer; Sharon Qian; Eric Balkanski; Yaron Singer (NeurIPS, 2020)

Investigating Gender Bias in Language Models Using Causal Mediation Analysis. - Jesse Vig; Sebastian Gehrmann; Yonatan Belinkov; Sharon Qian; Daniel Nevo; Yaron Singer; Stuart M. Shieber (NeurIPS, 2020)

A lower bound for parallel submodular minimization. - Eric Balkanski; Yaron Singer (STOC, 2020)

Robustness from Simple Classifiers. - Sharon Qian; Dimitris Kalimeris; Gal Kaplun; Yaron Singer (CoRR, 2020)

Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias. - Jesse Vig; Sebastian Gehrmann; Yonatan Belinkov; Sharon Qian; Daniel Nevo; Yaron Singer; Stuart M. Shieber (CoRR, 2020)

Adversarial Attacks on Binary Image Recognition Systems. - Eric Balkanski; Harrison Chase; Kojin Oshiba; Alexander Rilee; Yaron Singer; Richard Wang (CoRR, 2020)

Instance Specific Approximations for Submodular Maximization. - Eric Balkanski; Sharon Qian; Yaron Singer (ICML, 2021)

An Optimal Approximation for Submodular Maximization Under a Matroid Constraint in the Adaptive Complexity Model. - Eric Balkanski; Aviad Rubinstein; Yaron Singer (Oper. Res., 2022)

The Limitations of Optimization from Samples. - Eric Balkanski; Aviad Rubinstein; Yaron Singer (J. ACM, 2022)

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. - Anay Mehrotra; Manolis Zampetakis; Paul Kassianik; Blaine Nelson; Hyrum S. Anderson; Yaron Singer; Amin Karbasi (NeurIPS, 2024)

Adversarial Reasoning at Jailbreaking Time. - Mahdi Sabbaghi; Paul Kassianik; George J. Pappas; Yaron Singer; Amin Karbasi; Hamed Hassani (CoRR, 2025)

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report. - Paul Kassianik; Baturay Saglam; Alexander Chen; Blaine Nelson; Anu Vellore; Massimo Aufiero; Fraser Burch; Dhruv Kedia; Avi Zohary; Sajana Weerawardhena; Aman Priyanshu; Adam Swanda; et al. (CoRR, 2025)

Large Language Models Encode Semantics in Low-Dimensional Linear Subspaces. - Baturay Saglam; Paul Kassianik; Blaine Nelson; Sajana Weerawardhena; Yaron Singer; Amin Karbasi (CoRR, 2025)

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report. - Sajana Weerawardhena; Paul Kassianik; Blaine Nelson; Baturay Saglam; Anu Vellore; Aman Priyanshu; Supriti Vijay; Massimo Aufiero; Arthur Goldblatt; Fraser Burch; Ed Li; Jianliang He; et al. (CoRR, 2025)