BNymble: More Anonymous Blacklisting at Almost No Cost (A Short Paper). - Peter Lofgren; Nicholas Hopper (Financial Cryptography, 2011)

FAUST: efficient, TTP-free abuse prevention by anonymous whitelisting. - Peter Lofgren; Nicholas Hopper (WPES, 2011)

On the Worst-Case Performance of the Monte Carlo Method for Incremental Pagerank - Peter Lofgren (CoRR, 2012)

Personalized PageRank to a Target Node - Peter Lofgren; Ashish Goel (CoRR, 2013)

Question Selection for Crowd Entity Resolution. - Steven Euijong Whang; Peter Lofgren; Hector Garcia-Molina (Proc. VLDB Endow., 2013)

FAST-PPR: scaling personalized pagerank estimation for large graphs. - Peter Lofgren; Siddhartha Banerjee; Ashish Goel; Seshadhri Comandur (KDD, 2014)

On the complexity of the Monte Carlo method for incremental PageRank. - Peter Lofgren (Inf. Process. Lett., 2014)

Fast Bidirectional Probability Estimation in Markov Models. - Siddhartha Banerjee; Peter Lofgren (NIPS, 2015)

tDP: An Optimal-Latency Budget Allocation Strategy for Crowdsourced MAXIMUM Operations. - Vasilis Verroios; Peter Lofgren; Hector Garcia-Molina (SIGMOD Conference, 2015)

Bidirectional PageRank Estimation: From Average-Case to Worst-Case. - Peter Lofgren; Siddhartha Banerjee; Ashish Goel (WAW, 2015)

Efficient Algorithms for Personalized PageRank. - Peter Lofgren (CoRR, 2015)

Efficient algorithms for Personalized PageRank. - Peter Lofgren (2015)

Sublinear estimation of a single element in sparse linear systems. - Nitin Shyamkumar; Siddhartha Banerjee; Peter Lofgren (Allerton, 2016)

Approximate Personalized PageRank on Dynamic Graphs. - Hongyang Zhang 005; Peter Lofgren; Ashish Goel (KDD, 2016)

Personalized PageRank Estimation and Search: A Bidirectional Approach. - Peter Lofgren; Siddhartha Banerjee; Ashish Goel (WSDM, 2016)

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. - Mrinank Sharma; Meg Tong; Jesse Mu; Jerry Wei; Jorrit Kruthoff; Scott Goodfriend; Euan Ong; Alwin Peng; Raj Agarwal; Cem Anil; Amanda Askell; Nathan Bailey; et al. (CoRR, 2025)