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• 2022 : Best of Both Worlds: Towards Adversarial Robustness with Transduction and Rejection »
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• 2023 Poster: Grounding Neural Inference with Satisfiability Modulo Theories »
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• 2023 Poster: Robust and Actively Secure Serverless Collaborative Learning »
  Nicholas Franzese · Adam Dziedzic · Christopher A. Choquette-Choo · Mark R Thomas · Muhammad Ahmad Kaleem · Stephan Rabanser · Congyu Fang · Somesh Jha · Nicolas Papernot · Xiao Wang
• 2022 Spotlight: Lightning Talks 2A-2 »
  Harikrishnan N B · Jianhao Ding · Juha Harviainen · Yizhen Wang · Lue Tao · Oren Mangoubi · Tong Bu · Nisheeth K. Vishnoi · Mohannad Alhanahnah · Mikko Koivisto · Aditi Kathpalia · Lei Feng · Nithin Nagaraj · Hongxin Wei · Xiaozhu Meng · Petteri Kaski · Zhaofei Yu · Tiejun Huang · Ke Wang · Jinfeng Yi · Jian Liu · Sheng-Jun Huang · Mihai Christodorescu · Songcan Chen · Somesh Jha
• 2022 Spotlight: Robust Learning against Relational Adversaries »
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• 2022 Poster: Overparameterization from Computational Constraints »
  Sanjam Garg · Somesh Jha · Saeed Mahloujifar · Mohammad Mahmoody · Mingyuan Wang
• 2022 Poster: Robust Learning against Relational Adversaries »
  Yizhen Wang · Mohannad Alhanahnah · Xiaozhu Meng · Ke Wang · Mihai Christodorescu · Somesh Jha
• 2022 Poster: A Quantitative Geometric Approach to Neural-Network Smoothness »
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• 2021 Poster: Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles »
  Jiefeng Chen · Frederick Liu · Besim Avci · Xi Wu · Yingyu Liang · Somesh Jha
• 2021 Poster: A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks »
  Samuel Deng · Sanjam Garg · Somesh Jha · Saeed Mahloujifar · Mohammad Mahmoody · Abhradeep Guha Thakurta
• 2019 Poster: Attribution-Based Confidence Metric For Deep Neural Networks »
  Susmit Jha · Sunny Raj · Steven Fernandes · Sumit K Jha · Somesh Jha · Brian Jalaian · Gunjan Verma · Ananthram Swami
• 2019 Poster: Robust Attribution Regularization »
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