Thu 24 Jun 2021 01:45 - 01:50 at PLDI-A - Talks 2A: Machine Learning
Generative neural networks are powerful models capable of learning a wide range of rich semantic image transformations such as altering person's age, head orientation, adding mustache, changing the hair color and many more. At a high level, a generative model effectively produces new and previously unseen images with the desired properties, which can then be used to improve the accuracy of existing models. In this work, we advance the state-of-the-art in verification by bridging the gap between (i) the well studied but limited norm-based and geometric transformations, and (ii) the rich set of semantic transformations used in practice. This problem is especially hard since the images are generated from a highly non-convex image manifold, preventing the use of most existing verifiers, which often rely on convex relaxations. We present a new verifier, called GenProve, which is capable of certifying the rich set of semantic transformations of generative models. GenProve can provide both sound deterministic and probabilistic guarantees, by capturing infinite non-convex sets of activation vectors and distributions over them, while scaling to realistic networks.
Wed 23 JunDisplayed time zone: Eastern Time (US & Canada) change
13:30 - 14:05 | |||
13:30 5mTalk | Learning to Find Naming Issues with Big Code and Small Supervision PLDI DOI | ||
13:35 5mTalk | Fast and Precise Certification of Transformers PLDI Gregory Bonaert ETH Zurich, Dimitar I. Dimitrov ETH Zurich, Maximilian Baader ETH Zurich, Martin Vechev ETH Zurich DOI | ||
13:40 5mTalk | Web Question Answering with Neurosymbolic Program Synthesis PLDI Qiaochu Chen University of Texas at Austin, USA, Aaron Lamoreaux University of Texas at Austin, Xinyu Wang University of Michigan, Greg Durrett University of Texas at Austin, USA, Osbert Bastani University of Pennsylvania, Işil Dillig University of Texas at Austin DOI | ||
13:45 5mTalk | Robustness Certification with Generative Models PLDI Matthew Mirman ETH Zurich, Alexander Hägele ETH Zurich, Timon Gehr ETH Zurich, Pavol Bielik ETH Zurich, Martin Vechev ETH Zurich Link to publication DOI | ||
13:50 5mTalk | DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion PLDI Wei Niu College of William & Mary, Jiexiong Guan College of William & Mary, Yanzhi Wang Northeastern University, Gagan Agrawal Augusta University, Bin Ren College of William & Mary DOI | ||
13:55 5mTalk | Vectorized Secure Evaluation of Decision Forests PLDI Raghav Malik Purdue University, Vidush Singhal Purdue University, Benjamin Gottfried Purdue University, Milind Kulkarni Purdue University DOI Pre-print | ||
14:00 5mTalk | AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations PLDI Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing, Bojie Li Huawei Technologies, Wang Nie Huawei Technologies, Zhen Geng Huawei Technologies, Renwei Zhang Huawei Technologies, Xiong Gao Huawei Technologies, Bin Cheng Huawei Technologies, Chen Wu Huawei, Yun Cheng Huawei Technologies, Zheng Li Huawei Technologies, Peng Di Huawei Technologies, Kun Zhang Huawei Technologies, Xuefeng Jin Huawei Technologies DOI |
Thu 24 JunDisplayed time zone: Eastern Time (US & Canada) change
01:30 - 02:05 | |||
01:30 5mTalk | Learning to Find Naming Issues with Big Code and Small Supervision PLDI DOI | ||
01:35 5mTalk | Fast and Precise Certification of Transformers PLDI Gregory Bonaert ETH Zurich, Dimitar I. Dimitrov ETH Zurich, Maximilian Baader ETH Zurich, Martin Vechev ETH Zurich DOI | ||
01:40 5mTalk | Web Question Answering with Neurosymbolic Program Synthesis PLDI Qiaochu Chen University of Texas at Austin, USA, Aaron Lamoreaux University of Texas at Austin, Xinyu Wang University of Michigan, Greg Durrett University of Texas at Austin, USA, Osbert Bastani University of Pennsylvania, Işil Dillig University of Texas at Austin DOI | ||
01:45 5mTalk | Robustness Certification with Generative Models PLDI Matthew Mirman ETH Zurich, Alexander Hägele ETH Zurich, Timon Gehr ETH Zurich, Pavol Bielik ETH Zurich, Martin Vechev ETH Zurich Link to publication DOI | ||
01:50 5mTalk | DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion PLDI Wei Niu College of William & Mary, Jiexiong Guan College of William & Mary, Yanzhi Wang Northeastern University, Gagan Agrawal Augusta University, Bin Ren College of William & Mary DOI | ||
01:55 5mTalk | Vectorized Secure Evaluation of Decision Forests PLDI Raghav Malik Purdue University, Vidush Singhal Purdue University, Benjamin Gottfried Purdue University, Milind Kulkarni Purdue University DOI Pre-print | ||
02:00 5mTalk | AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations PLDI Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing, Bojie Li Huawei Technologies, Wang Nie Huawei Technologies, Zhen Geng Huawei Technologies, Renwei Zhang Huawei Technologies, Xiong Gao Huawei Technologies, Bin Cheng Huawei Technologies, Chen Wu Huawei, Yun Cheng Huawei Technologies, Zheng Li Huawei Technologies, Peng Di Huawei Technologies, Kun Zhang Huawei Technologies, Xuefeng Jin Huawei Technologies DOI |