Multimedia Semantic Integrity Assessment Using Joint Embedding Of Images And Text

Real world multimedia data is often composed of multiple modalities such as an image or a video with associated text (e.g. captions, user comments, etc.) and metadata. Such multimodal data packages are prone to manipulations, where a subset of these modalities can be altered to misrepresent or repurpose data packages, with possible malicious intent. It is, therefore, important to develop methods to assess or verify the integrity of these multimedia packages. Using computer vision and natural language processing methods to directly compare the image (or video) and the associated caption to verify the integrity of a media package is only possible for a limited set of objects and scenes. In this paper, we present a novel deep learning-based approach for assessing the semantic integrity of multimedia packages containing images and captions, using a reference set of multimedia packages. We construct a joint embedding of images and captions with deep multimodal representation learning on the reference dataset in a framework that also provides image-caption consistency scores (ICCSs). The integrity of query media packages is assessed as the inlierness of the query ICCSs with respect to the reference dataset. We present the MultimodAl Information Manipulation dataset (MAIM), a new dataset of media packages from Flickr, which we make available to the research community. We use both the newly created dataset as well as Flickr30K and MS COCO datasets to quantitatively evaluate our proposed approach. The reference dataset does not contain unmanipulated versions of tampered query packages. Our method is able to achieve F1 scores of 0.75, 0.89 and 0.94 on MAIM, Flickr30K and MS COCO, respectively, for detecting semantically incoherent media packages.Comment: *Ayush Jaiswal and Ekraam Sabir contributed equally to the work in this pape

SAFE Newsletter : 2013, Q3

Research: Joachim Weber, Benjamin Loos, Steffen Meyer, Andreas Hackethal "Individual Investors' Trading Motives and Security Selling Behavior" Ignazio Angeloni, Ester Faia "Monetary Policy and Prudential Regulations with Bank Runs" Helmut Siekmann "Legal Limits to Quantitative Easing" Policy Margit Vanberg "SAFE Summer Academy 2013 on 'International Financial Stability'" Guest Commentary Peter Praet "Cooperation between the ECB and Academia

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks

Current state-of-the-art vision-and-language models are evaluated on tasks either individually or in a multi-task setting, overlooking the challenges of continually learning (CL) tasks as they arrive. Existing CL benchmarks have facilitated research on task adaptation and mitigating "catastrophic forgetting", but are limited to vision-only and language-only tasks. We present CLiMB, a benchmark to study the challenge of learning multimodal tasks in a CL setting, and to systematically evaluate how upstream continual learning can rapidly generalize to new multimodal and unimodal tasks. CLiMB includes implementations of several CL algorithms and a modified Vision-Language Transformer (ViLT) model that can be deployed on both multimodal and unimodal tasks. We find that common CL methods can help mitigate forgetting during multimodal task learning, but do not enable cross-task knowledge transfer. We envision that CLiMB will facilitate research on a new class of CL algorithms for this challenging multimodal setting.Comment: Accepted to NeurIPS 2022 Datasets and Benchmarks trac

Cost-Benefit Default Principles

In an important but thus far unnoticed development, federal courts have created a new series of "default principles" for statutory interpretation, authorizing regulatory agencies, when statutes are unclear, (a) to exempt trivial risks from regulation and thus to develop a kind of common law of "acceptable risks," (b) to take account of substitute risks created by regulation, and thus to engage in "health-health" tradeoffs, (c) to consider whether compliance with regulation is feasible, (d) to take costs into account, and (e) to engage in cost-benefit balancing, and thus to develop a kind of common law of cost-benefit analysis. These cost-benefit default principles are both legitimate and salutary, because they give rationality and sense the benefit of the doubt. At the same time, they leave many open questions. They do not say whether agencies are required, and not merely permitted, to go in the direction they indicate; they do not indicate when agencies might reasonably reject the principles; and they do not say what, specifically, will be counted as an 'acceptable' risk or a sensible form of cost-benefit analysis. Addressing the open questions, this essay urges that the principles should ordinarily be taken as mandatory, not merely permissive; that agencies may reject them in certain identifiable circumstances; and that steps should be taken toward quantitative analysis of the effects of regulation, designed to discipline the relevant inquiries. An understanding of these points should promote understanding of emerging "second generation" debates, involving not whether to adopt a presumption in favor of cost-benefit balancing, but when the presumption is rebutted, and what, in particular, cost-benefit analysis should be taken to entail.

Journalism in the Service of Democracy: A Summit of Deans, Faculty, Students and Journalists

Distills discussions at a January 2008 conference to assess the future of journalism, including topics such as reinventing journalism education, reinvigorating the news environment, and opportunities in new media. Includes highlights of breakout sessions

A Study of Collaboration between the Defense Logistics Agency and the U.S. Agency for International Development in the Conduct of humanitarian Operations

Many organizations are finding it advantageous and often necessary to form collaborative alliances with strategic partners in order to solve collective problems and jointly work towards mutually desirable ends. This research examines a single case study of inter-agency coordination between the Defense Logistics Agency (DLA) and the U.S. Agency for International Development (USAID) and their involvement in humanitarian relief efforts. Pursuit of advancement through two collaboration models provided the framework of the research and contributed to the analysis of data. Resulting outcomes offer incentives for both organizations to develop stronger social networks assisting in a deeper understanding of the others organizational cultures and as well as urges operational collaboration across institutional lines

International Students\u27 Confidence And Academic Success

Research shows that the international student population is showing significant growth. Studies also show that foreign students are encountering difficulties such as social adaptability, language barriers, academic ability, and financial need. There is compelling evidence that establishes a correlation between a person\u27s self-efficacy and his or her level of achievement. This study used quantitative analysis to determine if there is an association between international students\u27 resources and their academic success. Analysis revealed that international students attending the University of North Dakota who scored high on their confidence levels in completing their programs of study also scored high on their confidence of their resources. Analysis also revealed that students who scored low on their confidence levels in completing their programs of study also scored low on their confidence of their resources