Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kolluri, Aashish"'
As AI-generated images become widespread, reliable watermarking is essential for content verification, copyright enforcement, and combating disinformation. Existing techniques rely on heuristic approaches and lack formal guarantees of undetectability
Externí odkaz:
http://arxiv.org/abs/2411.11434
Training modern neural networks or models typically requires averaging over a sample of high-dimensional vectors. Poisoning attacks can skew or bias the average vectors used to train the model, forcing the model to learn specific patterns or avoid le
Externí odkaz:
http://arxiv.org/abs/2312.14461
Graph neural networks (GNNs) fuel diverse machine learning tasks involving graph-structured data, ranging from predicting protein structures to serving personalized recommendations. Real-world graph data must often be stored distributed across many m
Externí odkaz:
http://arxiv.org/abs/2302.13053
A transpiler converts code from one programming language to another. Many practical uses of transpilers require the user to be able to guide or customize the program produced from a given input program. This customizability is important for satisfyin
Externí odkaz:
http://arxiv.org/abs/2301.11220
Classification tasks on labeled graph-structured data have many important applications ranging from social recommendation to financial modeling. Deep neural networks are increasingly being used for node classification on graphs, wherein nodes with si
Externí odkaz:
http://arxiv.org/abs/2205.03105
Programming by Example (PBE) is a program synthesis paradigm in which the synthesizer creates a program that matches a set of given examples. In many applications of such synthesis (e.g., program repair or reverse engineering), we are to reconstruct
Externí odkaz:
http://arxiv.org/abs/2106.11610
Analyzing structural properties of social networks, such as identifying their clusters or finding their most central nodes, has many applications. However, these applications are not supported by federated social networks that allow users to store th
Externí odkaz:
http://arxiv.org/abs/2105.09057
Automatic patch generation can significantly reduce the window of exposure after a vulnerability is disclosed. Towards this goal, a long-standing problem has been that of patch localization: to find a program point at which a patch can be synthesized
Externí odkaz:
http://arxiv.org/abs/2008.04516
We investigate a family of bugs in blockchain-based smart contracts, which we call event-ordering (or EO) bugs. These bugs are intimately related to the dynamic ordering of contract events, i.e., calls of its functions on the blockchain, and enable p
Externí odkaz:
http://arxiv.org/abs/1810.11605
Smart contracts---stateful executable objects hosted on blockchains like Ethereum---carry billions of dollars worth of coins and cannot be updated once deployed. We present a new systematic characterization of a class of trace vulnerabilities, which
Externí odkaz:
http://arxiv.org/abs/1802.06038