InstaHide's Sample Complexity When Mixing Two Private Images
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Baihe, Song, Zhao, Tao, Runzhou, Yin, Junze, Zhang, Ruizhe, Zhuo, Danyang |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Keeping a Secret Requires a Good Memory: Space Lower-Bounds for Private Algorithms
by: Epasto, Alessandro, et al.
Published: (2026)
by: Epasto, Alessandro, et al.
Published: (2026)
Privately Estimating Black-Box Statistics
by: Steinke, Günter F., et al.
Published: (2025)
by: Steinke, Günter F., et al.
Published: (2025)
Perfect Zero-Knowledge PCPs for #P
by: Gur, Tom, et al.
Published: (2024)
by: Gur, Tom, et al.
Published: (2024)
Mind the Gap? Not for SVP Hardness under ETH!
by: Aggarwal, Divesh, et al.
Published: (2025)
by: Aggarwal, Divesh, et al.
Published: (2025)
Towards EXPTIME One Way Functions: Bloom Filters, Succinct Graphs, Cliques, & Self Masking
by: Dolev, Shlomi
Published: (2025)
by: Dolev, Shlomi
Published: (2025)
On the Maximum Distance Sublattice Problem and Closest Vector Problem
by: Kumar, Rajendra, et al.
Published: (2018)
by: Kumar, Rajendra, et al.
Published: (2018)
Improved Hardness of BDD and SVP Under Gap-(S)ETH
by: Bennett, Huck, et al.
Published: (2021)
by: Bennett, Huck, et al.
Published: (2021)
The Planted Orthogonal Vectors Problem
by: Kühnemann, David, et al.
Published: (2025)
by: Kühnemann, David, et al.
Published: (2025)
Cell-Probe Lower Bounds via Semi-Random CSP Refutation: Simplified and the Odd-Locality Case
by: Guruswami, Venkatesan, et al.
Published: (2025)
by: Guruswami, Venkatesan, et al.
Published: (2025)
On the instance optimality of detecting collisions and subgraphs
by: Ben-Eliezer, Omri, et al.
Published: (2023)
by: Ben-Eliezer, Omri, et al.
Published: (2023)
The NISQ Complexity of Collision Finding
by: Hamoudi, Yassine, et al.
Published: (2022)
by: Hamoudi, Yassine, et al.
Published: (2022)
Average-Case Complexity of Quantum Stabilizer Decoding
by: Khesin, Andrey Boris, et al.
Published: (2025)
by: Khesin, Andrey Boris, et al.
Published: (2025)
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning
by: Golowich, Noah, et al.
Published: (2024)
by: Golowich, Noah, et al.
Published: (2024)
No exponential quantum speedup for $\mathrm{SIS}^\infty$ anymore
by: Kothari, Robin, et al.
Published: (2025)
by: Kothari, Robin, et al.
Published: (2025)
Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy
by: Dvijotham, Krishnamurthy, et al.
Published: (2024)
by: Dvijotham, Krishnamurthy, et al.
Published: (2024)
Differentially Private Matchings
by: Dinitz, Michael, et al.
Published: (2025)
by: Dinitz, Michael, et al.
Published: (2025)
Private Lossless Multiple Release
by: Andersson, Joel Daniel, et al.
Published: (2025)
by: Andersson, Joel Daniel, et al.
Published: (2025)
Differentially Private Set Representations
by: Patel, Sarvar, et al.
Published: (2025)
by: Patel, Sarvar, et al.
Published: (2025)
Space-Efficient Private Estimation of Quantiles
by: Cafaro, Massimo, et al.
Published: (2025)
by: Cafaro, Massimo, et al.
Published: (2025)
Profile Reconstruction from Private Sketches
by: Wu, Hao, et al.
Published: (2024)
by: Wu, Hao, et al.
Published: (2024)
Differentially Private Ad Conversion Measurement
by: Delaney, John, et al.
Published: (2024)
by: Delaney, John, et al.
Published: (2024)
Near-Optimal Generalized Private Testing
by: Chaturvedi, Anamay, et al.
Published: (2026)
by: Chaturvedi, Anamay, et al.
Published: (2026)
Differentially Private Gomory-Hu Trees
by: Aamand, Anders, et al.
Published: (2024)
by: Aamand, Anders, et al.
Published: (2024)
Improved Differentially Private Algorithms for Rank Aggregation
by: Hillebrand, Quentin, et al.
Published: (2025)
by: Hillebrand, Quentin, et al.
Published: (2025)
Private Hyperparameter Tuning with Ex-Post Guarantee
by: Ghazi, Badih, et al.
Published: (2025)
by: Ghazi, Badih, et al.
Published: (2025)
Private Synthetic Data Generation in Bounded Memory
by: Holland, Rayne, et al.
Published: (2024)
by: Holland, Rayne, et al.
Published: (2024)
Fast and Optimal Differentially Private Frequent-Substring Mining
by: Guo, Peaker, et al.
Published: (2026)
by: Guo, Peaker, et al.
Published: (2026)
Scalable Private Partition Selection via Adaptive Weighting
by: Chen, Justin Y., et al.
Published: (2025)
by: Chen, Justin Y., et al.
Published: (2025)
Improved Lower Bound for Differentially Private Facility Location
by: Manurangsi, Pasin
Published: (2024)
by: Manurangsi, Pasin
Published: (2024)
Skirting Additive Error Barriers for Private Turnstile Streams
by: Aamand, Anders, et al.
Published: (2026)
by: Aamand, Anders, et al.
Published: (2026)
Nearly-Optimal Private Selection via Gaussian Mechanism
by: Leeman, Ethan, et al.
Published: (2025)
by: Leeman, Ethan, et al.
Published: (2025)
Differentially Private Algorithms for Graphs Under Continual Observation
by: Fichtenberger, Hendrik, et al.
Published: (2021)
by: Fichtenberger, Hendrik, et al.
Published: (2021)
Differentially Private Continual Release of Histograms and Related Queries
by: Henzinger, Monika, et al.
Published: (2023)
by: Henzinger, Monika, et al.
Published: (2023)
Private Counting of Distinct Elements in the Turnstile Model and Extensions
by: Henzinger, Monika, et al.
Published: (2024)
by: Henzinger, Monika, et al.
Published: (2024)
Differentially Private Multi-Sampling from Distributions
by: Cheu, Albert, et al.
Published: (2024)
by: Cheu, Albert, et al.
Published: (2024)
Differentially Private Substring and Document Counting with Near-Optimal Error
by: Bernardini, Giulia, et al.
Published: (2024)
by: Bernardini, Giulia, et al.
Published: (2024)
Near-Universally-Optimal Differentially Private Minimum Spanning Trees
by: Hladík, Richard, et al.
Published: (2024)
by: Hladík, Richard, et al.
Published: (2024)
Exact zCDP Characterizations for Fundamental Differentially Private Mechanisms
by: Harrison, Charlie, et al.
Published: (2025)
by: Harrison, Charlie, et al.
Published: (2025)
Optimal Pure Differentially Private Sparse Histograms in Deterministic Linear Time
by: Kerschbaum, Florian, et al.
Published: (2025)
by: Kerschbaum, Florian, et al.
Published: (2025)
Tighter Bounds for Local Differentially Private Core Decomposition and Densest Subgraph
by: Henzinger, Monika, et al.
Published: (2024)
by: Henzinger, Monika, et al.
Published: (2024)
Similar Items
-
Keeping a Secret Requires a Good Memory: Space Lower-Bounds for Private Algorithms
by: Epasto, Alessandro, et al.
Published: (2026) -
Privately Estimating Black-Box Statistics
by: Steinke, Günter F., et al.
Published: (2025) -
Perfect Zero-Knowledge PCPs for #P
by: Gur, Tom, et al.
Published: (2024) -
Mind the Gap? Not for SVP Hardness under ETH!
by: Aggarwal, Divesh, et al.
Published: (2025) -
Towards EXPTIME One Way Functions: Bloom Filters, Succinct Graphs, Cliques, & Self Masking
by: Dolev, Shlomi
Published: (2025)