An official website of the United States government
Malware authors make use of several techniques to obfuscate code from reverse engineering tools such as IdaPro. Typically, these techniques tend to be effective for about three to six instructions, but eventually the tools can properly disassemble the remaining code once the tool is again synchronized with the operation codes. But this loss of synchronization can be used to hide information within the instructions – steganography. Our research explores an approach to this by presenting “Weaver”, a framework for executable steganography. “Weaver” differs from other techniques in how it hides malicious instructions: the hiding instructions are prepared by generating an assembly listing of the program and finding candidate hiding locations, the steganography instructions are prepared by creating an assembly listing of the program to obtain the operation codes to be hidden, and the “weaving” process merges the two. This “weaving” attempts to place all the steganography instructions into candidate locations found in the hiding instructions.
more »
« less
Adapting Double Weaving and Yarn Plying Techniques for Smart Textiles Applications
Smart textiles integrate sensing and actuation components into their structures to bring interactivity to fabrics. We describe how we adapted two existing fiber arts techniques, double weaving and yarn plying, for the purpose of creating a woven textile that changes color in response to touch. We draw from this experience to make three core contributions: descriptions of our experiments plying yarns that change between three color states; descriptions of double weaving structures that allow us to support interactivity while hiding circuitry from view; and suggestions for how these techniques could be adapted and extended by other researchers to make richly crafted and technologically sophisticated fabrics.
more »
« less
- Award ID(s):
- 1755587
- PAR ID:
- 10094654
- Date Published:
- Journal Name:
- TEI '19 Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction
- Page Range / eLocation ID:
- 77 to 85
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Paper circuitry has been extensively explored by HCI researchers as a means of creating interactive objects. However, these approaches focus on creating desktop or handheld objects, and paper as a wearable material remains under-explored. We present SkinPaper, a fabrication approach using silicone-treated washi paper to weave lightweight and easy-to-fabricate on-skin interactions. We adopt techniques from paper weaving and basketry weaving practices to create paper-woven structures that can conform to the body. Our approach uses off-the-shelf materials to facilitate a highly customizable fabrication process. We showcase eight case studies to illustrate our approach’s two to three-dimensional forms. To understand the expressiveness of the design space, we conducted a workshop study in which weavers created paper-woven on-skin interactions. We draw insights from the studies to understand the opportunities for paper-woven on-skin interactions.more » « less
-
Woven smart textiles are useful in creating flexible electronics because they integrate circuitry into the structure of the fabric itself. However, there do not yet exist tools that support the specific needs of smart textiles weavers. This paper describes the process and development of AdaCAD, an application for composing smart textile weave drafts. By augmenting traditional weaving drafts, AdaCAD allows weavers to design woven structures and circuitry in tandem and offers specific support for common smart textiles techniques. We describe these techniques, how our tool supports them alongside feedback from smart textiles weavers. We conclude with a reflection on smart textiles practice more broadly and suggest that the metaphor of coproduction can be fruitful in creating effective tools and envisioning future applications in this space.more » « less
-
Recent advances in text-to-image generative models provide the ability to generate high-quality images from short text descriptions. These foundation models, when pre-trained on billion-scale datasets, are effective for various downstream tasks with little or no further training. A natural question to ask is how such models may be adapted for image compression. We investigate several techniques in which the pre-trained models can be directly used to implement compression schemes targeting novel low rate regimes. We show how text descriptions can be used in conjunction with side information to generate high-fidelity reconstructions that preserve both semantics and spatial structure of the original. We demonstrate that at very low bit-rates, our method can significantly improve upon learned compressors in terms of perceptual and semantic fidelity, despite no end-to-end training.more » « less
-
Volume rendering techniques for scientific visualization have increasingly transitioned toward Monte Carlo (MC) methods in recent years due to their flexibility and robustness. However, their application in multi-channel visualization remains underexplored. Traditional compositing-based approaches often employ arbitrary color blending functions, which lack a physical basis and can obscure data interpretation. We introduce multi-density Woodcock tracking, a simple and flexible extension of Woodcock tracking for multi-channel volume rendering that leverages the strengths of Monte Carlo methods to generate high-fidelity visuals. Our method offers a physically grounded solution for inter-channel color blending and eliminates the need for arbitrary blending functions. We also propose a unified blending modality by generalizing Woodcock's distance tracking method, facilitating seamless integration of alternative blending functions from prior works. Through evaluation across diverse datasets, we demonstrate that our approach maintains real-time interactivity while achieving high-quality visuals by accumulating frames over time. Alper Sahistan, Stefan Zellmann, Nate Morrical, Valerio Pascucci, and Ingo Waldmore » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3294109.3295625
