Eva: Efficient Privacy-Preserving Proof of Authenticity for Lossily Encoded Videos
Chengru Zhang, Xiao Yang, David F. Oswald, Mark Ryan, Philipp Jovanovic
Abstract
With the increasing usage of fake videos in misinformation campaigns, proving the provenance of an edited video becomes critical, in particular, without revealing the original footage. We formalize the notion and security model of proofs of video authenticity and give the first cryptographic video authentication protocol Eva, which supports lossy codecs and arbitrary edits and is proven secure under well-established cryptographic assumptions. Compared to previous cryptographic methods for image authentication, Eva is not only capable of handling significantly larger amounts of data originating from the complex lossy video encoding but also achieves linear prover time, constant RAM usage, and constant proof size with respect to video size. These improvements have optimal theoretic complexity and are enabled by our two new theoretical advancements of integrating lookup arguments with folding-based incrementally verifiable computation (IVC) and compressing IVC proof efficiently, which may be of independent interest. For our implementation of Eva, we then integrate them with the Nova folding scheme, which we call Loua. As for concrete performance, we additionally utilize various optimizations such as tailored circuit design and GPU acceleration to make Eva highly practical: for a 2-minute HD (1280 × 720) video encoded in H.264 at 30 frames per second, Eva generates a 448 B proof in about 2.4 hours on consumer-grade hardware at 2.6 µs per pixel, surpassing state-of-the-art cryptographic image authentication schemes by more than an order of magnitude in terms of prover time and proof size.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 88337c32-1912-4d7d-914c-ed68e16a4261Builds on26
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- Bulletproofs: Short Proofs for Confidential Transactions and MoreBenedikt Bünz, Jonathan Bootle, Dan Boneh, Andrew Poelstra et al.S&P 2018 · 1,285 citations
- VideoPoet: A Large Language Model for Zero-Shot Video GenerationDan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama et al.ICML 2024 · 464 citations
- Poseidon: A New Hash Function for Zero-Knowledge Proof SystemsLorenzo Grassi, Dmitry Khovratovich, Christian Rechberger, Arnab Roy et al.USENIX Security 2021 · 410 citations
- Spartan: Efficient and General-Purpose zkSNARKs Without Trusted SetupSrinath T. V. SettyCRYPTO 2020 · 262 citations
Related papers
- PhotoProof: Cryptographic Image Authentication for Any Set of Permissible TransformationsAssa Naveh, Eran TromerS&P 2016 · 97 citations
- Nova: Recursive Zero-Knowledge Arguments from Folding SchemesAbhiram Kothapalli, Srinath T. V. Setty, Ioanna TziallaCRYPTO 2022 · 123 citations
- MicroNova: Folding-Based Arguments with Efficient (On-Chain) VerificationJiaxing Zhao, Srinath T. V. Setty, Weidong Cui, Greg ZaveruchaS&P 2025
- Vega: Low-Latency Zero-Knowledge Proofs over Existing CredentialsDarya Kaviani, Srinath SettyS&P 2026 · 5 citations
- ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable VideosYuxin (Myles) Liu, Zhihao Yao, Mingyi Chen, Ardalan Amiri Sani et al.MobiCom 2024 · 7 citations
