Aaron Cockle today with WHOSE HOPES? WHOSE FEARS? WHOSE VALUES? WHOSE JUSTICE?; Civil Disobedience (at MIT); Brooklyn š! & CAB 2017; Adversarial Objects
—————————————————————————————————
Barbara Kruger, Performa 17, Nov 1-19, 2017
Barbara Kruger has issued terse, fine-edged directives in her instantly recognizable—and frequently appropriated—visual style of block text in white Futura Bold font over a blood-red background for more than four decades now. Though she has remained loyal both to her straightforward messages concerning consumerism and feminism, and her canvases of billboards, public buses, newspapers, magazine covers, and buildings, it is ironic that the most visible example of its imitation is by street wear labels, which vacillates between mainstream luxury sportswear and cultivators of a speculative rare-edition consumer class.
For Performa 17, Kruger reclaims her signature style in a high-profile public square in central New York City—a prime branding and real-estate profiting opportunity—by branding a skate park, free and open to the public, as well as its periphery walls, and stairs, with her designs addressing and interrogating ideals around feminism, consumerism, and modern mass media.
—————————————————————————————————
List Projects: Civil Disobedience, MIT List Visual Arts Center
Social and political movements are born out of the urgent desire to make abstract principles concrete. Public demonstration is one way to voice opposition to a government’s actions believed to be unjust, illegitimate, or unconstitutional. In the streets and on college campuses, in town halls, churches and prisons, in public parks and reservations, civil disobedience has long been a tool of activism. Whether taking the form of mass occupation or individual statement, political protest is ingrained in American culture.
List Projects: Civil Disobedience is a program of documentaries, news footage, citizen journalism, artist’s films and videos focusing on moments of political resistance and public demonstration from the early 20th century through today. Presenting records from the historical Civil Rights and women’s movements, gay liberation and AIDS activism, the Black Lives Matter movement, and recent Women’s Marches recognize the history of resistance, and considers the role that artists and documentarians play in chronicling and confronting abuses of power and social injustice.

Though this exhibit recently closed, there is a substantial amount of photo and video work from the show posted at Contemporary Art Daily.
—————————————————————————————————
Baltic Comics Magazine looks at Brooklyn
Guest-edited by Desert Island’s own Gabe Fowler, the 30th issue of š! features work by Brooklyn area (and Brooklyn-esque?) cartoonists (A. T. Pratt, Alabaster Pizzo, Austin English, Ben Mendelewicz, Caroline Paquita, Courtney Menard, Daniel Zender, Gabrielle Bell, Heather Benjamin, Jane Mai, Jen Tong, Kevin Hooyman, König Lü. Q., Lily Padula, Natalie Andrewson, Rob Corradetti, Sabin Cauldron, Siobhán Gallagher, Thu Tran, Thomas Toye, Tyler Boss, Whit Taylor). A book release will be held at Desert Island on Wednesday, November 8, at 7pm.

—————————————————————————————————
ALSO, the venerable, venerated Comic Arts Brooklyn festival will be taking place this Saturday, November 11, 2017. More info, including exhibitor and programming details, can be found here.

—————————————————————————————————
Fooling Neural Networks in the Physical World with 3D Adversarial Objects
We’ve developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at. Neural network based classifiers reach near-human performance in many tasks, and they’re used in high risk, real world systems. Yet, these same neural networks are particularly vulnerable to adversarial examples, carefully perturbed inputs that cause targeted misclassification.
Our process works for arbitrary 3D models – not just turtles! We also made a baseball that classifies as an espresso at every angle! The examples still fool the neural network when we put them in front of semantically relevant backgrounds; for example, you’d never see a rifle underwater, or an espresso in a baseball mitt.
—————————————————————————————————
Suzy and Cecil – 11-7-2017 – by Sally Ingraham
—————————————————————————————————
Cozytown- 11-7-2017 – by Juan Fernandez
—————————————————————————————————
Joanie and Jordie 11-7-2017 – by Caleb Orecchio