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26 Program Highlights »
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Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #87
Adversarial Training and Robustness for Multiple Perturbations
Florian Tramer · Dan Boneh
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #88
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Yaqin Zhou · Shangqing Liu · Jingkai Siow · Xiaoning Du · Yang Liu
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #89
Differentially Private Distributed Data Summarization under Covariate Shift
Kanthi Sarpatwar · Karthikeyan Shanmugam · Venkata Sitaramagiridharganesh Ganapavarapu · Ashish Jagmohan · Roman Vaculin
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #90
Private Hypothesis Selection
Mark Bun · Gautam Kamath · Thomas Steinke · Steven Wu
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #91
Facility Location Problem in Differential Privacy Model Revisited
Yunus Esencayi · Marco Gaboardi · Shi Li · Di Wang
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #92
KNG: The K-Norm Gradient Mechanism
Matthew Reimherr · Jordan Awan
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #93
Locally Private Learning without Interaction Requires Separation
Amit Daniely · Vitaly Feldman
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #94
Lower Bounds on Adversarial Robustness from Optimal Transport
Arjun Nitin Bhagoji · Daniel Cullina · Prateek Mittal
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #95
On Differentially Private Graph Sparsification and Applications
Raman Arora · Jalaj Upadhyay
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #96
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Baoxiang Wang · Nidhi Hegde
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #97
REM: From Structural Entropy to Community Structure Deception
Yiwei Liu · Jiamou Liu · Zijian Zhang · Liehuang Zhu · Angsheng Li
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #98
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
Lixin Fan · Kam Woh Ng · Chee Seng Chan
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #99
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Qian Lou · Lei Jiang
Poster
Thu Dec 12th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #100
Theoretical evidence for adversarial robustness through randomization
Rafael Pinot · Laurent Meunier · Alexandre Araujo · Hisashi Kashima · Florian Yger · Cedric Gouy-Pailler · Jamal Atif
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #152
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Hadi Salman · Greg Yang · Huan Zhang · Cho-Jui Hsieh · Pengchuan Zhang
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #153
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Janardhan Kulkarni · Olga Ohrimenko · Bolin Ding · Sergey Yekhanin · Joshua Allen · Harsha Nori
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #154
Deep Leakage from Gradients
Ligeng Zhu · Zhijian Liu · Song Han
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #155
Defending Neural Backdoors via Generative Distribution Modeling
Ximing Qiao · Yukun Yang · Hai Li
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #156
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan · Omid Poursaeed · Vitaly Shmatikov
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #157
Differentially Private Covariance Estimation
Kareem Amin · Travis Dick · Alex Kulesza · Andres Munoz · Sergei Vassilvitskii
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #158
Differentially Private Markov Chain Monte Carlo
Mikko Heikkilä · Joonas Jälkö · Onur Dikmen · Antti Honkela
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #159
Elliptical Perturbations for Differential Privacy
Matthew Reimherr · Jordan Awan
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #160
Oblivious Sampling Algorithms for Private Data Analysis
Olga Ohrimenko · Sajin Sasy
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #161
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
David Durfee · Ryan Rogers
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #162
Privacy Amplification by Mixing and Diffusion Mechanisms
Borja Balle · Gilles Barthe · Marco Gaboardi · Joseph Geumlek
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #163
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily · Vitaly Feldman · Kunal Talwar · Abhradeep Guha Thakurta