More from the Same Authors

• 2021 Spotlight: Excess Capacity and Backdoor Poisoning »
  Naren Manoj · Avrim Blum
• 2021 : One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning »
  Richard Phillips · Han Shao · Avrim Blum · Nika Haghtalab
• 2021 : On classification of strategic agents who can both game and improve »
  Saba Ahmadi · Hedyeh Beyhaghi · Avrim Blum · Keziah Naggita
• 2021 : The Strategic Perceptron »
  Saba Ahmadi · Hedyeh Beyhaghi · Avrim Blum · Keziah Naggita
• 2021 : One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning »
  Richard Phillips · Han Shao · Avrim Blum · Nika Haghtalab
• 2021 : On classification of strategic agents who can both game and improve »
  Saba Ahmadi · Hedyeh Beyhaghi · Avrim Blum · Keziah Naggita
• 2021 : The Strategic Perceptron »
  Saba Ahmadi · Hedyeh Beyhaghi · Avrim Blum · Keziah Naggita
• 2022 : Certifiable Robustness Against Patch Attacks Using an ERM Oracle »
  Kevin Stangl · Avrim Blum · Omar Montasser · Saba Ahmadi
• 2022 : Panel »
  Meena Jagadeesan · Avrim Blum · Jon Kleinberg · Celestine Mendler-Dünner · Jennifer Wortman Vaughan · Chara Podimata
• 2022 Poster: A Characterization of Semi-Supervised Adversarially Robust PAC Learnability »
  Idan Attias · Steve Hanneke · Yishay Mansour
• 2022 Poster: Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness »
  Avrim Blum · Omar Montasser · Greg Shakhnarovich · Hongyang Zhang
• 2022 Poster: Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization »
  Omar Montasser · Steve Hanneke · Nati Srebro
• 2022 Poster: Universal Rates for Interactive Learning »
  Steve Hanneke · Amin Karbasi · Shay Moran · Grigoris Velegkas
• 2022 Poster: On Optimal Learning Under Targeted Data Poisoning »
  Steve Hanneke · Amin Karbasi · Mohammad Mahmoody · Idan Mehalel · Shay Moran
• 2022 Poster: A Theory of PAC Learnability under Transformation Invariances »
  Han Shao · Omar Montasser · Avrim Blum
• 2021 Poster: Excess Capacity and Backdoor Poisoning »
  Naren Manoj · Avrim Blum
• 2020 Workshop: Workshop on Dataset Curation and Security »
  Nathalie Baracaldo · Yonatan Bisk · Avrim Blum · Michael Curry · John Dickerson · Micah Goldblum · Tom Goldstein · Bo Li · Avi Schwarzschild
• 2020 Poster: Reducing Adversarially Robust Learning to Non-Robust PAC Learning »
  Omar Montasser · Steve Hanneke · Nati Srebro
• 2020 Poster: Online Learning with Primary and Secondary Losses »
  Avrim Blum · Han Shao
• 2019 Poster: On the Value of Target Data in Transfer Learning »
  Steve Hanneke · Samory Kpotufe
• 2018 Poster: On preserving non-discrimination when combining expert advice »
  Avrim Blum · Suriya Gunasekar · Thodoris Lykouris · Nati Srebro
• 2017 Poster: Collaborative PAC Learning »
  Avrim Blum · Nika Haghtalab · Ariel Procaccia · Mingda Qiao
• 2014 Poster: Learning Optimal Commitment to Overcome Insecurity »
  Avrim Blum · Nika Haghtalab · Ariel Procaccia
• 2014 Poster: Learning Mixtures of Ranking Models »
  Pranjal Awasthi · Avrim Blum · Or Sheffet · Aravindan Vijayaraghavan
• 2014 Poster: Active Learning and Best-Response Dynamics »
  Maria-Florina F Balcan · Christopher Berlind · Avrim Blum · Emma Cohen · Kaushik Patnaik · Le Song
• 2014 Spotlight: Learning Mixtures of Ranking Models »
  Pranjal Awasthi · Avrim Blum · Or Sheffet · Aravindan Vijayaraghavan
• 2010 Spotlight: Trading off Mistakes and Don't-Know Predictions »
  Amin Sayedi · Avrim Blum · Morteza Zadimoghaddam
• 2010 Poster: Trading off Mistakes and Don't-Know Predictions »
  Amin Sayedi · Morteza Zadimoghaddam · Avrim Blum
• 2009 Workshop: Clustering: Science or art? Towards principled approaches »
  Margareta Ackerman · Shai Ben-David · Avrim Blum · Isabelle Guyon · Ulrike von Luxburg · Robert Williamson · Reza Zadeh
• 2009 Poster: Tracking Dynamic Sources of Malicious Activity at Internet Scale »
  Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck
• 2009 Spotlight: Tracking Dynamic Sources of Malicious Activity at Internet Scale »
  Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck
• 2008 Workshop: New Challanges in Theoretical Machine Learning: Data Dependent Concept Spaces »
  Maria-Florina F Balcan · Shai Ben-David · Avrim Blum · Kristiaan Pelckmans · John Shawe-Taylor