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- Vipul Goyal, Abhishek Jain, Omkant Pandey, Amit Sahai
- ICALP
- 2008

In a ciphertext policy attribute based encryption system, a user’s private key is associated with a set of attributes (describing the user) and an encrypted ciphertext will specify an access policy over attributes. A user will be able to decrypt if and only if his attributes satisfy the ciphertext’s policy. In this work, we present the first construction of… (More)

- Prabhanjan Vijendra Ananth, Abhishek Jain
- CRYPTO
- 2015

The arrival of indistinguishability obfuscation (iO) has transformed the cryptographic landscape by enabling several security goals that were previously beyond our reach. Consequently, one of the pressing goals currently is to construct iO from well-studied standard cryptographic assumptions. In this work, we make progress in this direction by presenting a… (More)

- Sanjam Garg, Abhishek Jain, Amit Sahai
- CRYPTO
- 2011

In this paper, we initiate a study of zero knowledge proof systems in the presence of side-channel attacks. Specifically, we consider a setting where a cheating verifier is allowed to obtain arbitrary bounded leakage on the entire state (including the witness and the random coins) of the prover during the entire protocol execution. We formalize a meaningful… (More)

- Gilad Asharov, Abhishek Jain, Adriana López-Alt, Eran Tromer, Vinod Vaikuntanathan, Daniel Wichs
- EUROCRYPT
- 2011

Fully homomorphic encryption (FHE) enables secure computation over the encrypted data of a single party. We explore how to extend this to multiple parties, using threshold fully homomorphic encryption (TFHE). In such scheme, the parties jointly generate a common FHE public key along with a secret key that is shared among them; they can later cooperatively… (More)

- Eike Kiltz, Krzysztof Pietrzak, David Cash, Abhishek Jain, Daniele Venturi
- Journal of Cryptology
- 2011

We construct efficient authentication protocols and message authentication codes (MACs) whose security can be reduced to the learning parity with noise (LPN) problem. Despite a large body of work—starting with the $${\mathsf {HB}}$$ HB protocol of Hopper and Blum in 2001—until now it was not even known how to construct an efficient authentication protocol… (More)

- Shafi Goldwasser, S. Dov Gordon, +6 authors Hong-Sheng Zhou
- EUROCRYPT
- 2013

Functional encryption (FE) is a powerful primitive enabling fine-grained access to encrypted data. In an FE scheme, secret keys (“tokens”) correspond to functions; a user in possession of a ciphertext ct = Enc(x) and a token TKf for the function f can compute f(x) but learn nothing else about x. An active area of research over the past few years has focused… (More)

- Xin Zhang, Abhishek Jain, Adrian Perrig
- CoNEXT
- 2008

Until recently, the design of packet dropping adversary identification protocols that are robust to <i>both</i> benign packet loss <i>and</i> malicious behavior has proven to be surprisingly elusive. In this paper, we propose a <i>secure</i> and <i>practical</i> packet-dropping adversary localization scheme that is robust and achieves a high detection rate… (More)

- Allison Bishop, Abhishek Jain, Lucas Kowalczyk
- IACR Cryptology ePrint Archive
- 2015

<lb>We extend the reach of functional encryption schemes that are provably secure under simple<lb>assumptions against unbounded collusion to include function-hiding inner product schemes.<lb>Our scheme is a private key functional encryption scheme, where ciphertexts correspond to<lb>vectors ~x, secret keys correspond to vectors ~y, and a decryptor learns… (More)

- Abhishek Jain, Stephan Krenn, Krzysztof Pietrzak, Aris Tentes
- ASIACRYPT
- 2012

We construct a perfectly binding string commitment scheme whose security is based on the learning parity with noise (LPN) assumption, or equivalently, the hardness of decoding random linear codes. Our scheme not only allows for a simple and efficient zero-knowledge proof of knowledge for committed values (essentially a Σ-protocol), but also for such proofs… (More)

- Ravichandran Veerasamy, Harish Rajak, Abhishek Jain, Shalini Sivadasan, Christapher P. Varghese, Ram Kishore Agrawal
- 2011

Quantitative Structure-Activity Relationship (QSAR) is based on the hypothesis that changes in molecular structure reflect changes in the observed response or biological activity. The success of any quantitative structure–activity relationship model depends on the accuracy of the input data, selection of appropriate descriptors, statistical tools and the… (More)